Automated detection of a nonperfusion area caused by retinal vein occlusion in optical coherence tomography angiography images using deep learning.
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| Title: | Automated detection of a nonperfusion area caused by retinal vein occlusion in optical coherence tomography angiography images using deep learning. |
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| Authors: | Nagasato D; Department of Ophthalmology, Tsukazaki Hospital, Himeji, Japan., Tabuchi H; Department of Ophthalmology, Tsukazaki Hospital, Himeji, Japan., Masumoto H; Department of Ophthalmology, Tsukazaki Hospital, Himeji, Japan., Enno H; Rist Incorporated, Tokyo, Japan., Ishitobi N; Department of Ophthalmology, Tsukazaki Hospital, Himeji, Japan., Kameoka M; Department of Ophthalmology, Tsukazaki Hospital, Himeji, Japan., Niki M; Department of Ophthalmology, Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima, Japan., Mitamura Y; Department of Ophthalmology, Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima, Japan. |
| Source: | PloS one [PLoS One] 2019 Nov 07; Vol. 14 (11), pp. e0223965. Date of Electronic Publication: 2019 Nov 07 (Print Publication: 2019). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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