Precise segmentation of the bulbar conjunctiva for hyperaemia images
Abstract Hyperaemia is an excess of blood in a tissue that causes the appearance of an unusual red hue in the affected area. It is a common occurrence in the bulbar conjunctiva, where it can be related to multiple pathologies, such as conjunctivitis or dry eye syndrome. Specialists grade hyperaemia...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Sánchez Brea, Luisa [verfasserIn] Barreira Rodríguez, Noelia [verfasserIn] Mosquera González, Antonio [verfasserIn] Pena-Verdeal, Hugo [verfasserIn] Yebra-Pimentel Vilar, Eva [verfasserIn] |
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2017 |
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Enthalten in: Pattern Analysis & Applications - Springer-Verlag, 1999, 21(2017), 2 vom: 07. Okt., Seite 563-577 |
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volume:21 ; year:2017 ; number:2 ; day:07 ; month:10 ; pages:563-577 |
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10.1007/s10044-017-0658-z |
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| 520 | |a Abstract Hyperaemia is an excess of blood in a tissue that causes the appearance of an unusual red hue in the affected area. It is a common occurrence in the bulbar conjunctiva, where it can be related to multiple pathologies, such as conjunctivitis or dry eye syndrome. Specialists grade hyperaemia by means of a tedious, subjective, non-repeatable and time-consuming process. These drawbacks can be solved with the automatisation of the process by means of image processing techniques. The automatic segmentation of the conjunctiva is an important part of the process, as it ensures the absence of noise in posterior stages of the methodology. However, there are several issues of illumination and focus in the input videos that difficult the process. In this work, several segmentation algorithms are proposed and compared in order to obtain an accurate location of the bulbar conjunctiva. | ||
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10.1007/s10044-017-0658-z doi (DE-627)SPR008217297 (SPR)s10044-017-0658-z-e DE-627 ger DE-627 rakwb eng Sánchez Brea, Luisa verfasserin aut Precise segmentation of the bulbar conjunctiva for hyperaemia images 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Hyperaemia is an excess of blood in a tissue that causes the appearance of an unusual red hue in the affected area. It is a common occurrence in the bulbar conjunctiva, where it can be related to multiple pathologies, such as conjunctivitis or dry eye syndrome. Specialists grade hyperaemia by means of a tedious, subjective, non-repeatable and time-consuming process. These drawbacks can be solved with the automatisation of the process by means of image processing techniques. The automatic segmentation of the conjunctiva is an important part of the process, as it ensures the absence of noise in posterior stages of the methodology. However, there are several issues of illumination and focus in the input videos that difficult the process. In this work, several segmentation algorithms are proposed and compared in order to obtain an accurate location of the bulbar conjunctiva. Image processing (dpeaa)DE-He213 Medical imaging (dpeaa)DE-He213 Optometry (dpeaa)DE-He213 Dry eye syndrome (dpeaa)DE-He213 Hyperaemia grading (dpeaa)DE-He213 Barreira Rodríguez, Noelia verfasserin aut Mosquera González, Antonio verfasserin aut Pena-Verdeal, Hugo verfasserin aut Yebra-Pimentel Vilar, Eva verfasserin aut Enthalten in Pattern Analysis & Applications Springer-Verlag, 1999 21(2017), 2 vom: 07. Okt., Seite 563-577 (DE-627)SPR008209189 nnns volume:21 year:2017 number:2 day:07 month:10 pages:563-577 https://dx.doi.org/10.1007/s10044-017-0658-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 21 2017 2 07 10 563-577 |
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10.1007/s10044-017-0658-z doi (DE-627)SPR008217297 (SPR)s10044-017-0658-z-e DE-627 ger DE-627 rakwb eng Sánchez Brea, Luisa verfasserin aut Precise segmentation of the bulbar conjunctiva for hyperaemia images 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Hyperaemia is an excess of blood in a tissue that causes the appearance of an unusual red hue in the affected area. It is a common occurrence in the bulbar conjunctiva, where it can be related to multiple pathologies, such as conjunctivitis or dry eye syndrome. Specialists grade hyperaemia by means of a tedious, subjective, non-repeatable and time-consuming process. These drawbacks can be solved with the automatisation of the process by means of image processing techniques. The automatic segmentation of the conjunctiva is an important part of the process, as it ensures the absence of noise in posterior stages of the methodology. However, there are several issues of illumination and focus in the input videos that difficult the process. In this work, several segmentation algorithms are proposed and compared in order to obtain an accurate location of the bulbar conjunctiva. Image processing (dpeaa)DE-He213 Medical imaging (dpeaa)DE-He213 Optometry (dpeaa)DE-He213 Dry eye syndrome (dpeaa)DE-He213 Hyperaemia grading (dpeaa)DE-He213 Barreira Rodríguez, Noelia verfasserin aut Mosquera González, Antonio verfasserin aut Pena-Verdeal, Hugo verfasserin aut Yebra-Pimentel Vilar, Eva verfasserin aut Enthalten in Pattern Analysis & Applications Springer-Verlag, 1999 21(2017), 2 vom: 07. Okt., Seite 563-577 (DE-627)SPR008209189 nnns volume:21 year:2017 number:2 day:07 month:10 pages:563-577 https://dx.doi.org/10.1007/s10044-017-0658-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 21 2017 2 07 10 563-577 |
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10.1007/s10044-017-0658-z doi (DE-627)SPR008217297 (SPR)s10044-017-0658-z-e DE-627 ger DE-627 rakwb eng Sánchez Brea, Luisa verfasserin aut Precise segmentation of the bulbar conjunctiva for hyperaemia images 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Hyperaemia is an excess of blood in a tissue that causes the appearance of an unusual red hue in the affected area. It is a common occurrence in the bulbar conjunctiva, where it can be related to multiple pathologies, such as conjunctivitis or dry eye syndrome. Specialists grade hyperaemia by means of a tedious, subjective, non-repeatable and time-consuming process. These drawbacks can be solved with the automatisation of the process by means of image processing techniques. The automatic segmentation of the conjunctiva is an important part of the process, as it ensures the absence of noise in posterior stages of the methodology. However, there are several issues of illumination and focus in the input videos that difficult the process. In this work, several segmentation algorithms are proposed and compared in order to obtain an accurate location of the bulbar conjunctiva. Image processing (dpeaa)DE-He213 Medical imaging (dpeaa)DE-He213 Optometry (dpeaa)DE-He213 Dry eye syndrome (dpeaa)DE-He213 Hyperaemia grading (dpeaa)DE-He213 Barreira Rodríguez, Noelia verfasserin aut Mosquera González, Antonio verfasserin aut Pena-Verdeal, Hugo verfasserin aut Yebra-Pimentel Vilar, Eva verfasserin aut Enthalten in Pattern Analysis & Applications Springer-Verlag, 1999 21(2017), 2 vom: 07. Okt., Seite 563-577 (DE-627)SPR008209189 nnns volume:21 year:2017 number:2 day:07 month:10 pages:563-577 https://dx.doi.org/10.1007/s10044-017-0658-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 21 2017 2 07 10 563-577 |
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10.1007/s10044-017-0658-z doi (DE-627)SPR008217297 (SPR)s10044-017-0658-z-e DE-627 ger DE-627 rakwb eng Sánchez Brea, Luisa verfasserin aut Precise segmentation of the bulbar conjunctiva for hyperaemia images 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Hyperaemia is an excess of blood in a tissue that causes the appearance of an unusual red hue in the affected area. It is a common occurrence in the bulbar conjunctiva, where it can be related to multiple pathologies, such as conjunctivitis or dry eye syndrome. Specialists grade hyperaemia by means of a tedious, subjective, non-repeatable and time-consuming process. These drawbacks can be solved with the automatisation of the process by means of image processing techniques. The automatic segmentation of the conjunctiva is an important part of the process, as it ensures the absence of noise in posterior stages of the methodology. However, there are several issues of illumination and focus in the input videos that difficult the process. In this work, several segmentation algorithms are proposed and compared in order to obtain an accurate location of the bulbar conjunctiva. Image processing (dpeaa)DE-He213 Medical imaging (dpeaa)DE-He213 Optometry (dpeaa)DE-He213 Dry eye syndrome (dpeaa)DE-He213 Hyperaemia grading (dpeaa)DE-He213 Barreira Rodríguez, Noelia verfasserin aut Mosquera González, Antonio verfasserin aut Pena-Verdeal, Hugo verfasserin aut Yebra-Pimentel Vilar, Eva verfasserin aut Enthalten in Pattern Analysis & Applications Springer-Verlag, 1999 21(2017), 2 vom: 07. Okt., Seite 563-577 (DE-627)SPR008209189 nnns volume:21 year:2017 number:2 day:07 month:10 pages:563-577 https://dx.doi.org/10.1007/s10044-017-0658-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 21 2017 2 07 10 563-577 |
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Precise segmentation of the bulbar conjunctiva for hyperaemia images |
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Abstract Hyperaemia is an excess of blood in a tissue that causes the appearance of an unusual red hue in the affected area. It is a common occurrence in the bulbar conjunctiva, where it can be related to multiple pathologies, such as conjunctivitis or dry eye syndrome. Specialists grade hyperaemia by means of a tedious, subjective, non-repeatable and time-consuming process. These drawbacks can be solved with the automatisation of the process by means of image processing techniques. The automatic segmentation of the conjunctiva is an important part of the process, as it ensures the absence of noise in posterior stages of the methodology. However, there are several issues of illumination and focus in the input videos that difficult the process. In this work, several segmentation algorithms are proposed and compared in order to obtain an accurate location of the bulbar conjunctiva. |
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Abstract Hyperaemia is an excess of blood in a tissue that causes the appearance of an unusual red hue in the affected area. It is a common occurrence in the bulbar conjunctiva, where it can be related to multiple pathologies, such as conjunctivitis or dry eye syndrome. Specialists grade hyperaemia by means of a tedious, subjective, non-repeatable and time-consuming process. These drawbacks can be solved with the automatisation of the process by means of image processing techniques. The automatic segmentation of the conjunctiva is an important part of the process, as it ensures the absence of noise in posterior stages of the methodology. However, there are several issues of illumination and focus in the input videos that difficult the process. In this work, several segmentation algorithms are proposed and compared in order to obtain an accurate location of the bulbar conjunctiva. |
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Abstract Hyperaemia is an excess of blood in a tissue that causes the appearance of an unusual red hue in the affected area. It is a common occurrence in the bulbar conjunctiva, where it can be related to multiple pathologies, such as conjunctivitis or dry eye syndrome. Specialists grade hyperaemia by means of a tedious, subjective, non-repeatable and time-consuming process. These drawbacks can be solved with the automatisation of the process by means of image processing techniques. The automatic segmentation of the conjunctiva is an important part of the process, as it ensures the absence of noise in posterior stages of the methodology. However, there are several issues of illumination and focus in the input videos that difficult the process. In this work, several segmentation algorithms are proposed and compared in order to obtain an accurate location of the bulbar conjunctiva. |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR008217297</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20201124023809.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201005s2017 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s10044-017-0658-z</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR008217297</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s10044-017-0658-z-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Sánchez Brea, Luisa</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Precise segmentation of the bulbar conjunctiva for hyperaemia images</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2017</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Hyperaemia is an excess of blood in a tissue that causes the appearance of an unusual red hue in the affected area. It is a common occurrence in the bulbar conjunctiva, where it can be related to multiple pathologies, such as conjunctivitis or dry eye syndrome. Specialists grade hyperaemia by means of a tedious, subjective, non-repeatable and time-consuming process. These drawbacks can be solved with the automatisation of the process by means of image processing techniques. The automatic segmentation of the conjunctiva is an important part of the process, as it ensures the absence of noise in posterior stages of the methodology. However, there are several issues of illumination and focus in the input videos that difficult the process. In this work, several segmentation algorithms are proposed and compared in order to obtain an accurate location of the bulbar conjunctiva.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Image processing</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Medical imaging</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Optometry</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Dry eye syndrome</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Hyperaemia grading</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Barreira Rodríguez, Noelia</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Mosquera González, Antonio</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Pena-Verdeal, Hugo</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Yebra-Pimentel Vilar, Eva</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Pattern Analysis & Applications</subfield><subfield code="d">Springer-Verlag, 1999</subfield><subfield code="g">21(2017), 2 vom: 07. Okt., Seite 563-577</subfield><subfield code="w">(DE-627)SPR008209189</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:21</subfield><subfield code="g">year:2017</subfield><subfield code="g">number:2</subfield><subfield code="g">day:07</subfield><subfield code="g">month:10</subfield><subfield code="g">pages:563-577</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1007/s10044-017-0658-z</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">21</subfield><subfield code="j">2017</subfield><subfield code="e">2</subfield><subfield code="b">07</subfield><subfield code="c">10</subfield><subfield code="h">563-577</subfield></datafield></record></collection>
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