Accuracy of a deep convolutional neural network in the detection of myopic macular diseases using swept-source optical coherence tomography.

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Bibliographic Details
Title: Accuracy of a deep convolutional neural network in the detection of myopic macular diseases using swept-source optical coherence tomography.
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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ISSN:1932-6203
DOI:10.1371/journal.pone.0227240