Open AccessSegmentation of retinal fluid based on deep learning: application of three-dimensional fully convolutional neural networks in optical coherence tomography images
Author(s) -
Meng-xiao Li,
Suqin Yu,
Wei Zhang,
Hao Zhou,
Xun Xu,
Tianwei Qian,
Yongjing Wan
Publication year - 2019
Publication title -
international journal of ophthalmology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.634
H-Index - 29
eISSN - 2227-4898
pISSN - 2222-3959
DOI - 10.18240/ijo.2019.06.22
Subject(s) - optical coherence tomography , convolutional neural network , medicine , artificial intelligence , deep learning , retinal , segmentation , computer vision , ophthalmology , optometry , pattern recognition (psychology) , computer science
To explore a segmentation algorithm based on deep learning to achieve accurate diagnosis and treatment of patients with retinal fluid.
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