Accuracy of a deep convolutional neural network in detection of retinitis pigmentosa on ultrawide-field images.

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Bibliographic Details
Title: Accuracy of a deep convolutional neural network in detection of retinitis pigmentosa on ultrawide-field images.
Authors: Masumoto H; Department of Ophthalmology, Tsukazaki Hospital, Himeji, Japan., Tabuchi H; Department of Ophthalmology, Tsukazaki Hospital, Himeji, Japan., Nakakura S; Department of Ophthalmology, Tsukazaki Hospital, Himeji, Japan., Ohsugi H; Department of Ophthalmology, Tsukazaki Hospital, Himeji, Japan., Enno H; Rist Inc., Tokyo, Japan., Ishitobi N; Department of Ophthalmology, Tsukazaki Hospital, Himeji, Japan., Ohsugi E; Department of Ophthalmology, Tsukazaki Hospital, Himeji, Japan., Mitamura Y; Department of Ophthalmology, Insutitute of Biomedical Science, Tokushima University Graduate School, Tokushima, Japan.
Source: PeerJ [PeerJ] 2019 May 07; Vol. 7, pp. e6900. Date of Electronic Publication: 2019 May 07 (Print Publication: 2019).
Publication Type: Journal Article
Journal Info: Publisher: PeerJ Inc Country of Publication: United States NLM ID: 101603425 Publication Model: eCollection Cited Medium: Print ISSN: 2167-8359 (Print) Linking ISSN: 21678359 NLM ISO Abbreviation: PeerJ Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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