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Generative adversarial network-based deep learning approach in classification of retinal conditions with optical coherence tomography images.

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Title: Generative adversarial network-based deep learning approach in classification of retinal conditions with optical coherence tomography images.
Authors: Sun LC; School of Medicine, National Defense Medical Center, Taipei, Taiwan., Pao SI; Department of Ophthalmology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan., Huang KH; Department of Ophthalmology, Song-Shan Branch of Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan., Wei CY; Graduate Institute of Life Sciences, National Defense Medical Center, Taipei, Taiwan., Lin KF; Medical Informatics Office, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.; School of Public Health, National Defense Medical Center, Taipei, Taiwan., Chen PN; Department of Biomedical Engineering, National Defense Medical Center, No.161, Sec.6, Minchiuan E. Rd., Neihu Dist, Taipei, 11490, Taiwan. g931310@gmail.com.
Source: Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie [Graefes Arch Clin Exp Ophthalmol] 2023 May; Vol. 261 (5), pp. 1399-1412. Date of Electronic Publication: 2022 Nov 28.
Publication Type: Journal Article
Journal Info: Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 8205248 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1435-702X (Electronic) Linking ISSN: 0721832X NLM ISO Abbreviation: Graefes Arch Clin Exp Ophthalmol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Generative adversarial network-based deep learning approach in classification of retinal conditions with optical coherence tomography images.
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  Data: <searchLink fieldCode="AU" term="%22Sun+LC%22">Sun LC</searchLink>; School of Medicine, National Defense Medical Center, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Pao+SI%22">Pao SI</searchLink>; Department of Ophthalmology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Huang+KH%22">Huang KH</searchLink>; Department of Ophthalmology, Song-Shan Branch of Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Wei+CY%22">Wei CY</searchLink>; Graduate Institute of Life Sciences, National Defense Medical Center, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Lin+KF%22">Lin KF</searchLink>; Medical Informatics Office, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.; School of Public Health, National Defense Medical Center, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Chen+PN%22">Chen PN</searchLink>; Department of Biomedical Engineering, National Defense Medical Center, No.161, Sec.6, Minchiuan E. Rd., Neihu Dist, Taipei, 11490, Taiwan. g931310@gmail.com.
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      – Type: doi
        Value: 10.1007/s00417-022-05919-9
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      – Code: eng
        Text: English
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      – TitleFull: Generative adversarial network-based deep learning approach in classification of retinal conditions with optical coherence tomography images.
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            NameFull: Pao SI
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            – D: 01
              M: 05
              Text: 2023 May
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              Y: 2023
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            – TitleFull: Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie
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