GTCreator: a flexible annotation tool for image-based datasets
Purpose: Methodology evaluation for decision support systems for health is a time-consuming task. To assess performance of polyp detection methods in colonoscopy videos, clinicians have to deal with the annotation of thousands of images. Current existing tools could be improved in terms of flexibili...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Bernal, Jorge [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2018 |
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| Schlagwörter: |
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| Anmerkung: |
© CARS 2018 |
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| Übergeordnetes Werk: |
Enthalten in: International journal of computer assisted radiology and surgery - Berlin : Springer, 2006, 14(2018), 2 vom: 25. Sept., Seite 191-201 |
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| Übergeordnetes Werk: |
volume:14 ; year:2018 ; number:2 ; day:25 ; month:09 ; pages:191-201 |
| Links: |
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| DOI / URN: |
10.1007/s11548-018-1864-x |
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| Katalog-ID: |
SPR020714599 |
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| 100 | 1 | |a Bernal, Jorge |e verfasserin |0 (orcid)0000-0001-8493-9514 |4 aut | |
| 245 | 1 | 0 | |a GTCreator: a flexible annotation tool for image-based datasets |
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| 520 | |a Purpose: Methodology evaluation for decision support systems for health is a time-consuming task. To assess performance of polyp detection methods in colonoscopy videos, clinicians have to deal with the annotation of thousands of images. Current existing tools could be improved in terms of flexibility and ease of use. Methods: We introduce GTCreator, a flexible annotation tool for providing image and text annotations to image-based datasets. It keeps the main basic functionalities of other similar tools while extending other capabilities such as allowing multiple annotators to work simultaneously on the same task or enhanced dataset browsing and easy annotation transfer aiming to speed up annotation processes in large datasets. Results: The comparison with other similar tools shows that GTCreator allows to obtain fast and precise annotation of image datasets, being the only one which offers full annotation editing and browsing capabilites. Conclusion: Our proposed annotation tool has been proven to be efficient for large image dataset annotation, as well as showing potential of use in other stages of method evaluation such as experimental setup or results analysis. | ||
| 650 | 4 | |a Annotation tool |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Validation framework |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Benchmark |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Colonoscopy |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Evaluation |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Histace, Aymeric |0 (orcid)0000-0002-3029-4412 |4 aut | |
| 700 | 1 | |a Masana, Marc |0 (orcid)0000-0003-3254-3096 |4 aut | |
| 700 | 1 | |a Angermann, Quentin |4 aut | |
| 700 | 1 | |a Sánchez-Montes, Cristina |0 (orcid)0000-0002-7050-3995 |4 aut | |
| 700 | 1 | |a Rodríguez de Miguel, Cristina |0 (orcid)0000-0002-5576-0854 |4 aut | |
| 700 | 1 | |a Hammami, Maroua |0 (orcid)0000-0002-4303-5970 |4 aut | |
| 700 | 1 | |a García-Rodríguez, Ana |0 (orcid)0000-0001-7637-922X |4 aut | |
| 700 | 1 | |a Córdova, Henry |0 (orcid)0000-0002-6636-6764 |4 aut | |
| 700 | 1 | |a Romain, Olivier |0 (orcid)0000-0002-2172-1865 |4 aut | |
| 700 | 1 | |a Fernández-Esparrach, Gloria |0 (orcid)0000-0002-3378-3940 |4 aut | |
| 700 | 1 | |a Dray, Xavier |0 (orcid)0000-0002-4527-203X |4 aut | |
| 700 | 1 | |a Sánchez, F. Javier |0 (orcid)0000-0002-9364-3122 |4 aut | |
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2018 |
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10.1007/s11548-018-1864-x doi (DE-627)SPR020714599 (SPR)s11548-018-1864-x-e DE-627 ger DE-627 rakwb eng Bernal, Jorge verfasserin (orcid)0000-0001-8493-9514 aut GTCreator: a flexible annotation tool for image-based datasets 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © CARS 2018 Purpose: Methodology evaluation for decision support systems for health is a time-consuming task. To assess performance of polyp detection methods in colonoscopy videos, clinicians have to deal with the annotation of thousands of images. Current existing tools could be improved in terms of flexibility and ease of use. Methods: We introduce GTCreator, a flexible annotation tool for providing image and text annotations to image-based datasets. It keeps the main basic functionalities of other similar tools while extending other capabilities such as allowing multiple annotators to work simultaneously on the same task or enhanced dataset browsing and easy annotation transfer aiming to speed up annotation processes in large datasets. Results: The comparison with other similar tools shows that GTCreator allows to obtain fast and precise annotation of image datasets, being the only one which offers full annotation editing and browsing capabilites. Conclusion: Our proposed annotation tool has been proven to be efficient for large image dataset annotation, as well as showing potential of use in other stages of method evaluation such as experimental setup or results analysis. Annotation tool (dpeaa)DE-He213 Validation framework (dpeaa)DE-He213 Benchmark (dpeaa)DE-He213 Colonoscopy (dpeaa)DE-He213 Evaluation (dpeaa)DE-He213 Histace, Aymeric (orcid)0000-0002-3029-4412 aut Masana, Marc (orcid)0000-0003-3254-3096 aut Angermann, Quentin aut Sánchez-Montes, Cristina (orcid)0000-0002-7050-3995 aut Rodríguez de Miguel, Cristina (orcid)0000-0002-5576-0854 aut Hammami, Maroua (orcid)0000-0002-4303-5970 aut García-Rodríguez, Ana (orcid)0000-0001-7637-922X aut Córdova, Henry (orcid)0000-0002-6636-6764 aut Romain, Olivier (orcid)0000-0002-2172-1865 aut Fernández-Esparrach, Gloria (orcid)0000-0002-3378-3940 aut Dray, Xavier (orcid)0000-0002-4527-203X aut Sánchez, F. Javier (orcid)0000-0002-9364-3122 aut Enthalten in International journal of computer assisted radiology and surgery Berlin : Springer, 2006 14(2018), 2 vom: 25. Sept., Seite 191-201 (DE-627)512299250 (DE-600)2235881-X 1861-6429 nnns volume:14 year:2018 number:2 day:25 month:09 pages:191-201 https://dx.doi.org/10.1007/s11548-018-1864-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 14 2018 2 25 09 191-201 |
| spelling |
10.1007/s11548-018-1864-x doi (DE-627)SPR020714599 (SPR)s11548-018-1864-x-e DE-627 ger DE-627 rakwb eng Bernal, Jorge verfasserin (orcid)0000-0001-8493-9514 aut GTCreator: a flexible annotation tool for image-based datasets 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © CARS 2018 Purpose: Methodology evaluation for decision support systems for health is a time-consuming task. To assess performance of polyp detection methods in colonoscopy videos, clinicians have to deal with the annotation of thousands of images. Current existing tools could be improved in terms of flexibility and ease of use. Methods: We introduce GTCreator, a flexible annotation tool for providing image and text annotations to image-based datasets. It keeps the main basic functionalities of other similar tools while extending other capabilities such as allowing multiple annotators to work simultaneously on the same task or enhanced dataset browsing and easy annotation transfer aiming to speed up annotation processes in large datasets. Results: The comparison with other similar tools shows that GTCreator allows to obtain fast and precise annotation of image datasets, being the only one which offers full annotation editing and browsing capabilites. Conclusion: Our proposed annotation tool has been proven to be efficient for large image dataset annotation, as well as showing potential of use in other stages of method evaluation such as experimental setup or results analysis. Annotation tool (dpeaa)DE-He213 Validation framework (dpeaa)DE-He213 Benchmark (dpeaa)DE-He213 Colonoscopy (dpeaa)DE-He213 Evaluation (dpeaa)DE-He213 Histace, Aymeric (orcid)0000-0002-3029-4412 aut Masana, Marc (orcid)0000-0003-3254-3096 aut Angermann, Quentin aut Sánchez-Montes, Cristina (orcid)0000-0002-7050-3995 aut Rodríguez de Miguel, Cristina (orcid)0000-0002-5576-0854 aut Hammami, Maroua (orcid)0000-0002-4303-5970 aut García-Rodríguez, Ana (orcid)0000-0001-7637-922X aut Córdova, Henry (orcid)0000-0002-6636-6764 aut Romain, Olivier (orcid)0000-0002-2172-1865 aut Fernández-Esparrach, Gloria (orcid)0000-0002-3378-3940 aut Dray, Xavier (orcid)0000-0002-4527-203X aut Sánchez, F. Javier (orcid)0000-0002-9364-3122 aut Enthalten in International journal of computer assisted radiology and surgery Berlin : Springer, 2006 14(2018), 2 vom: 25. Sept., Seite 191-201 (DE-627)512299250 (DE-600)2235881-X 1861-6429 nnns volume:14 year:2018 number:2 day:25 month:09 pages:191-201 https://dx.doi.org/10.1007/s11548-018-1864-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 14 2018 2 25 09 191-201 |
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10.1007/s11548-018-1864-x doi (DE-627)SPR020714599 (SPR)s11548-018-1864-x-e DE-627 ger DE-627 rakwb eng Bernal, Jorge verfasserin (orcid)0000-0001-8493-9514 aut GTCreator: a flexible annotation tool for image-based datasets 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © CARS 2018 Purpose: Methodology evaluation for decision support systems for health is a time-consuming task. To assess performance of polyp detection methods in colonoscopy videos, clinicians have to deal with the annotation of thousands of images. Current existing tools could be improved in terms of flexibility and ease of use. Methods: We introduce GTCreator, a flexible annotation tool for providing image and text annotations to image-based datasets. It keeps the main basic functionalities of other similar tools while extending other capabilities such as allowing multiple annotators to work simultaneously on the same task or enhanced dataset browsing and easy annotation transfer aiming to speed up annotation processes in large datasets. Results: The comparison with other similar tools shows that GTCreator allows to obtain fast and precise annotation of image datasets, being the only one which offers full annotation editing and browsing capabilites. Conclusion: Our proposed annotation tool has been proven to be efficient for large image dataset annotation, as well as showing potential of use in other stages of method evaluation such as experimental setup or results analysis. Annotation tool (dpeaa)DE-He213 Validation framework (dpeaa)DE-He213 Benchmark (dpeaa)DE-He213 Colonoscopy (dpeaa)DE-He213 Evaluation (dpeaa)DE-He213 Histace, Aymeric (orcid)0000-0002-3029-4412 aut Masana, Marc (orcid)0000-0003-3254-3096 aut Angermann, Quentin aut Sánchez-Montes, Cristina (orcid)0000-0002-7050-3995 aut Rodríguez de Miguel, Cristina (orcid)0000-0002-5576-0854 aut Hammami, Maroua (orcid)0000-0002-4303-5970 aut García-Rodríguez, Ana (orcid)0000-0001-7637-922X aut Córdova, Henry (orcid)0000-0002-6636-6764 aut Romain, Olivier (orcid)0000-0002-2172-1865 aut Fernández-Esparrach, Gloria (orcid)0000-0002-3378-3940 aut Dray, Xavier (orcid)0000-0002-4527-203X aut Sánchez, F. Javier (orcid)0000-0002-9364-3122 aut Enthalten in International journal of computer assisted radiology and surgery Berlin : Springer, 2006 14(2018), 2 vom: 25. Sept., Seite 191-201 (DE-627)512299250 (DE-600)2235881-X 1861-6429 nnns volume:14 year:2018 number:2 day:25 month:09 pages:191-201 https://dx.doi.org/10.1007/s11548-018-1864-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 14 2018 2 25 09 191-201 |
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10.1007/s11548-018-1864-x doi (DE-627)SPR020714599 (SPR)s11548-018-1864-x-e DE-627 ger DE-627 rakwb eng Bernal, Jorge verfasserin (orcid)0000-0001-8493-9514 aut GTCreator: a flexible annotation tool for image-based datasets 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © CARS 2018 Purpose: Methodology evaluation for decision support systems for health is a time-consuming task. To assess performance of polyp detection methods in colonoscopy videos, clinicians have to deal with the annotation of thousands of images. Current existing tools could be improved in terms of flexibility and ease of use. Methods: We introduce GTCreator, a flexible annotation tool for providing image and text annotations to image-based datasets. It keeps the main basic functionalities of other similar tools while extending other capabilities such as allowing multiple annotators to work simultaneously on the same task or enhanced dataset browsing and easy annotation transfer aiming to speed up annotation processes in large datasets. Results: The comparison with other similar tools shows that GTCreator allows to obtain fast and precise annotation of image datasets, being the only one which offers full annotation editing and browsing capabilites. Conclusion: Our proposed annotation tool has been proven to be efficient for large image dataset annotation, as well as showing potential of use in other stages of method evaluation such as experimental setup or results analysis. Annotation tool (dpeaa)DE-He213 Validation framework (dpeaa)DE-He213 Benchmark (dpeaa)DE-He213 Colonoscopy (dpeaa)DE-He213 Evaluation (dpeaa)DE-He213 Histace, Aymeric (orcid)0000-0002-3029-4412 aut Masana, Marc (orcid)0000-0003-3254-3096 aut Angermann, Quentin aut Sánchez-Montes, Cristina (orcid)0000-0002-7050-3995 aut Rodríguez de Miguel, Cristina (orcid)0000-0002-5576-0854 aut Hammami, Maroua (orcid)0000-0002-4303-5970 aut García-Rodríguez, Ana (orcid)0000-0001-7637-922X aut Córdova, Henry (orcid)0000-0002-6636-6764 aut Romain, Olivier (orcid)0000-0002-2172-1865 aut Fernández-Esparrach, Gloria (orcid)0000-0002-3378-3940 aut Dray, Xavier (orcid)0000-0002-4527-203X aut Sánchez, F. Javier (orcid)0000-0002-9364-3122 aut Enthalten in International journal of computer assisted radiology and surgery Berlin : Springer, 2006 14(2018), 2 vom: 25. Sept., Seite 191-201 (DE-627)512299250 (DE-600)2235881-X 1861-6429 nnns volume:14 year:2018 number:2 day:25 month:09 pages:191-201 https://dx.doi.org/10.1007/s11548-018-1864-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 14 2018 2 25 09 191-201 |
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10.1007/s11548-018-1864-x doi (DE-627)SPR020714599 (SPR)s11548-018-1864-x-e DE-627 ger DE-627 rakwb eng Bernal, Jorge verfasserin (orcid)0000-0001-8493-9514 aut GTCreator: a flexible annotation tool for image-based datasets 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © CARS 2018 Purpose: Methodology evaluation for decision support systems for health is a time-consuming task. To assess performance of polyp detection methods in colonoscopy videos, clinicians have to deal with the annotation of thousands of images. Current existing tools could be improved in terms of flexibility and ease of use. Methods: We introduce GTCreator, a flexible annotation tool for providing image and text annotations to image-based datasets. It keeps the main basic functionalities of other similar tools while extending other capabilities such as allowing multiple annotators to work simultaneously on the same task or enhanced dataset browsing and easy annotation transfer aiming to speed up annotation processes in large datasets. Results: The comparison with other similar tools shows that GTCreator allows to obtain fast and precise annotation of image datasets, being the only one which offers full annotation editing and browsing capabilites. Conclusion: Our proposed annotation tool has been proven to be efficient for large image dataset annotation, as well as showing potential of use in other stages of method evaluation such as experimental setup or results analysis. Annotation tool (dpeaa)DE-He213 Validation framework (dpeaa)DE-He213 Benchmark (dpeaa)DE-He213 Colonoscopy (dpeaa)DE-He213 Evaluation (dpeaa)DE-He213 Histace, Aymeric (orcid)0000-0002-3029-4412 aut Masana, Marc (orcid)0000-0003-3254-3096 aut Angermann, Quentin aut Sánchez-Montes, Cristina (orcid)0000-0002-7050-3995 aut Rodríguez de Miguel, Cristina (orcid)0000-0002-5576-0854 aut Hammami, Maroua (orcid)0000-0002-4303-5970 aut García-Rodríguez, Ana (orcid)0000-0001-7637-922X aut Córdova, Henry (orcid)0000-0002-6636-6764 aut Romain, Olivier (orcid)0000-0002-2172-1865 aut Fernández-Esparrach, Gloria (orcid)0000-0002-3378-3940 aut Dray, Xavier (orcid)0000-0002-4527-203X aut Sánchez, F. Javier (orcid)0000-0002-9364-3122 aut Enthalten in International journal of computer assisted radiology and surgery Berlin : Springer, 2006 14(2018), 2 vom: 25. Sept., Seite 191-201 (DE-627)512299250 (DE-600)2235881-X 1861-6429 nnns volume:14 year:2018 number:2 day:25 month:09 pages:191-201 https://dx.doi.org/10.1007/s11548-018-1864-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 14 2018 2 25 09 191-201 |
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Enthalten in International journal of computer assisted radiology and surgery 14(2018), 2 vom: 25. Sept., Seite 191-201 volume:14 year:2018 number:2 day:25 month:09 pages:191-201 |
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Enthalten in International journal of computer assisted radiology and surgery 14(2018), 2 vom: 25. Sept., Seite 191-201 volume:14 year:2018 number:2 day:25 month:09 pages:191-201 |
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Annotation tool Validation framework Benchmark Colonoscopy Evaluation |
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International journal of computer assisted radiology and surgery |
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Bernal, Jorge @@aut@@ Histace, Aymeric @@aut@@ Masana, Marc @@aut@@ Angermann, Quentin @@aut@@ Sánchez-Montes, Cristina @@aut@@ Rodríguez de Miguel, Cristina @@aut@@ Hammami, Maroua @@aut@@ García-Rodríguez, Ana @@aut@@ Córdova, Henry @@aut@@ Romain, Olivier @@aut@@ Fernández-Esparrach, Gloria @@aut@@ Dray, Xavier @@aut@@ Sánchez, F. Javier @@aut@@ |
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2018-09-25T00:00:00Z |
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Bernal, Jorge |
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Bernal, Jorge Histace, Aymeric Masana, Marc Angermann, Quentin Sánchez-Montes, Cristina Rodríguez de Miguel, Cristina Hammami, Maroua García-Rodríguez, Ana Córdova, Henry Romain, Olivier Fernández-Esparrach, Gloria Dray, Xavier Sánchez, F. Javier |
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Elektronische Aufsätze |
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Bernal, Jorge |
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10.1007/s11548-018-1864-x |
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gtcreator: a flexible annotation tool for image-based datasets |
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GTCreator: a flexible annotation tool for image-based datasets |
| abstract |
Purpose: Methodology evaluation for decision support systems for health is a time-consuming task. To assess performance of polyp detection methods in colonoscopy videos, clinicians have to deal with the annotation of thousands of images. Current existing tools could be improved in terms of flexibility and ease of use. Methods: We introduce GTCreator, a flexible annotation tool for providing image and text annotations to image-based datasets. It keeps the main basic functionalities of other similar tools while extending other capabilities such as allowing multiple annotators to work simultaneously on the same task or enhanced dataset browsing and easy annotation transfer aiming to speed up annotation processes in large datasets. Results: The comparison with other similar tools shows that GTCreator allows to obtain fast and precise annotation of image datasets, being the only one which offers full annotation editing and browsing capabilites. Conclusion: Our proposed annotation tool has been proven to be efficient for large image dataset annotation, as well as showing potential of use in other stages of method evaluation such as experimental setup or results analysis. © CARS 2018 |
| abstractGer |
Purpose: Methodology evaluation for decision support systems for health is a time-consuming task. To assess performance of polyp detection methods in colonoscopy videos, clinicians have to deal with the annotation of thousands of images. Current existing tools could be improved in terms of flexibility and ease of use. Methods: We introduce GTCreator, a flexible annotation tool for providing image and text annotations to image-based datasets. It keeps the main basic functionalities of other similar tools while extending other capabilities such as allowing multiple annotators to work simultaneously on the same task or enhanced dataset browsing and easy annotation transfer aiming to speed up annotation processes in large datasets. Results: The comparison with other similar tools shows that GTCreator allows to obtain fast and precise annotation of image datasets, being the only one which offers full annotation editing and browsing capabilites. Conclusion: Our proposed annotation tool has been proven to be efficient for large image dataset annotation, as well as showing potential of use in other stages of method evaluation such as experimental setup or results analysis. © CARS 2018 |
| abstract_unstemmed |
Purpose: Methodology evaluation for decision support systems for health is a time-consuming task. To assess performance of polyp detection methods in colonoscopy videos, clinicians have to deal with the annotation of thousands of images. Current existing tools could be improved in terms of flexibility and ease of use. Methods: We introduce GTCreator, a flexible annotation tool for providing image and text annotations to image-based datasets. It keeps the main basic functionalities of other similar tools while extending other capabilities such as allowing multiple annotators to work simultaneously on the same task or enhanced dataset browsing and easy annotation transfer aiming to speed up annotation processes in large datasets. Results: The comparison with other similar tools shows that GTCreator allows to obtain fast and precise annotation of image datasets, being the only one which offers full annotation editing and browsing capabilites. Conclusion: Our proposed annotation tool has been proven to be efficient for large image dataset annotation, as well as showing potential of use in other stages of method evaluation such as experimental setup or results analysis. © CARS 2018 |
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GTCreator: a flexible annotation tool for image-based datasets |
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Histace, Aymeric Masana, Marc Angermann, Quentin Sánchez-Montes, Cristina Rodríguez de Miguel, Cristina Hammami, Maroua García-Rodríguez, Ana Córdova, Henry Romain, Olivier Fernández-Esparrach, Gloria Dray, Xavier Sánchez, F. Javier |
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Histace, Aymeric Masana, Marc Angermann, Quentin Sánchez-Montes, Cristina Rodríguez de Miguel, Cristina Hammami, Maroua García-Rodríguez, Ana Córdova, Henry Romain, Olivier Fernández-Esparrach, Gloria Dray, Xavier Sánchez, F. Javier |
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2024-07-03T17:47:54.158Z |
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| score |
7.399208 |