Accuracy of a deep convolutional neural network in the detection of myopic macular diseases using swept-source optical coherence tomography.
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| Title: | Accuracy of a deep convolutional neural network in the detection of myopic macular diseases using swept-source optical coherence tomography. |
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| Authors: | Sogawa T; Department of Ophthalmology, Tsukazaki Hospital, Himeji, Japan., Tabuchi H; Department of Ophthalmology, Tsukazaki Hospital, Himeji, Japan.; Department of Technology and Design Thinking for Medicine, Hiroshima University Graduate School, Hiroshima, Japan., Nagasato D; Department of Ophthalmology, Tsukazaki Hospital, Himeji, Japan.; Department of Technology and Design Thinking for Medicine, Hiroshima University Graduate School, Hiroshima, Japan., Masumoto H; Department of Ophthalmology, Tsukazaki Hospital, Himeji, Japan.; Department of Technology and Design Thinking for Medicine, Hiroshima University Graduate School, Hiroshima, Japan., Ikuno Y; Ikuno Eye Center, Osaka, Japan., Ohsugi H; Ohsugi Eye Clinic, Kobe, Japan., Ishitobi N; Department of Ophthalmology, Tsukazaki Hospital, Himeji, Japan., Mitamura Y; Department of Ophthalmology, Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima, Japan. |
| Source: | PloS one [PLoS One] 2020 Apr 16; Vol. 15 (4), pp. e0227240. Date of Electronic Publication: 2020 Apr 16 (Print Publication: 2020). |
| Publication Type: | Evaluation Study; 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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