Evaluation of deep convolutional neural networks for glaucoma detection
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Evaluation of deep convolutional neural networks for glaucoma detection

Phan S;Satoh S;Yoda Y;Kashiwagi K;Oshika T; ;;
japanese journal of ophthalmology 2019 Vol. 63 pp. -
310
s2019japaneseevaluation

Abstract

DCNNs may be a useful tool for detecting glaucoma or glaucoma-suspected eyes by use of fundus color images. Proper preprocessing and collection of qualified images are essential to improving the discriminative ability.

Keywords

neural networks National Center for Biotechnology Information NCBI NLM MEDLINE humans pubmed abstract nih national institutes of health national library of medicine computer* Retrospective Studies diagnostic techniques ophthalmological* roc curve pmid:30798379 doi:10.1007/s10384-019-00659-6 sang phan shin'ichi satoh japan ocular imaging registry research group glaucoma / diagnosis* optic disk / diagnostic imaging*

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