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. |
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| 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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| ISSN: | 1435-702X |
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| DOI: | 10.1007/s00417-022-05919-9 |
