Accuracy of a deep convolutional neural network in detection of retinitis pigmentosa on ultrawide-field images
Evaluating the discrimination ability of a deep convolution neural network for ultrawide-field pseudocolor imaging and ultrawide-field autofluorescence of retinitis pigmentosa. In total, the 373 ultrawide-field pseudocolor and ultrawide-field autofluorescence images (150, retinitis pigmentosa; 223,...
Main Authors: | Hiroki Masumoto, Hitoshi Tabuchi, Shunsuke Nakakura, Hideharu Ohsugi, Hiroki Enno, Naofumi Ishitobi, Eiko Ohsugi, Yoshinori Mitamura |
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Format: | Article |
Language: | English |
Published: |
PeerJ Inc.
2019-05-01
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Series: | PeerJ |
Subjects: | |
Online Access: | https://peerj.com/articles/6900.pdf |
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