Three-layer medical image fusion with tensor-based features
• A three-layer based image decomposition is for MRI, PET, and SPECT images. • Mutiple modalities medical images are decomposed using structure and color tensor, respectively. • Gad_MRI, T2_MRI, FDG_PET, Tc_SPECT medical images are used to compare the fusion methods. • The robust to noise of the pro...
Ausführliche Beschreibung
Autor*in: |
Du, Jiao [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2020 |
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Umfang: |
16 |
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Übergeordnetes Werk: |
Enthalten in: Mo1264 Clinical Characteristics of Inflammatory Bowel Disease May Influence the Cancer Risk When Using Immunomodulators: Incident Cases of Cancer in a Multicenter Case-Control Study - Petrruzziello, Carmelina ELSEVIER, 2013, an international journal, New York, NY |
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Übergeordnetes Werk: |
volume:525 ; year:2020 ; pages:93-108 ; extent:16 |
Links: |
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DOI / URN: |
10.1016/j.ins.2020.03.051 |
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520 | |a • A three-layer based image decomposition is for MRI, PET, and SPECT images. • Mutiple modalities medical images are decomposed using structure and color tensor, respectively. • Gad_MRI, T2_MRI, FDG_PET, Tc_SPECT medical images are used to compare the fusion methods. • The robust to noise of the proposed method is compared to nine methods. • It gives the comparison between two-layer and three-layer image decomposition schemes. | ||
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10.1016/j.ins.2020.03.051 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000992.pica (DE-627)ELV050129929 (ELSEVIER)S0020-0255(20)30231-0 DE-627 ger DE-627 rakwb eng 610 VZ 570 VZ BIODIV DE-30 fid 35.70 bkl 42.12 bkl 42.15 bkl Du, Jiao verfasserin aut Three-layer medical image fusion with tensor-based features 2020 16 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • A three-layer based image decomposition is for MRI, PET, and SPECT images. • Mutiple modalities medical images are decomposed using structure and color tensor, respectively. • Gad_MRI, T2_MRI, FDG_PET, Tc_SPECT medical images are used to compare the fusion methods. • The robust to noise of the proposed method is compared to nine methods. • It gives the comparison between two-layer and three-layer image decomposition schemes. Li, Weisheng oth Tan, Hengliang oth Enthalten in Elsevier Science Inc Petrruzziello, Carmelina ELSEVIER Mo1264 Clinical Characteristics of Inflammatory Bowel Disease May Influence the Cancer Risk When Using Immunomodulators: Incident Cases of Cancer in a Multicenter Case-Control Study 2013 an international journal New York, NY (DE-627)ELV011843691 volume:525 year:2020 pages:93-108 extent:16 https://doi.org/10.1016/j.ins.2020.03.051 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA 35.70 Biochemie: Allgemeines VZ 42.12 Biophysik VZ 42.15 Zellbiologie VZ AR 525 2020 93-108 16 |
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• A three-layer based image decomposition is for MRI, PET, and SPECT images. • Mutiple modalities medical images are decomposed using structure and color tensor, respectively. • Gad_MRI, T2_MRI, FDG_PET, Tc_SPECT medical images are used to compare the fusion methods. • The robust to noise of the proposed method is compared to nine methods. • It gives the comparison between two-layer and three-layer image decomposition schemes. |
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• A three-layer based image decomposition is for MRI, PET, and SPECT images. • Mutiple modalities medical images are decomposed using structure and color tensor, respectively. • Gad_MRI, T2_MRI, FDG_PET, Tc_SPECT medical images are used to compare the fusion methods. • The robust to noise of the proposed method is compared to nine methods. • It gives the comparison between two-layer and three-layer image decomposition schemes. |
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• A three-layer based image decomposition is for MRI, PET, and SPECT images. • Mutiple modalities medical images are decomposed using structure and color tensor, respectively. • Gad_MRI, T2_MRI, FDG_PET, Tc_SPECT medical images are used to compare the fusion methods. • The robust to noise of the proposed method is compared to nine methods. • It gives the comparison between two-layer and three-layer image decomposition schemes. |
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