Retinal Disease Classification from OCT Images Using Deep Learning Algorithms
2021 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)（2021）
摘要
Optical Coherence Tomography (OCT) is a noninvasive test that takes cross-section pictures of the retina layer of the eye and allows ophthalmologists to diagnose based on the retina's layers. Therefore, it is an important modality for the detection and quantification of retinal diseases and retinal abnormalities. Since OCT provides several images for each patient, it is a time consuming work for o...
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关键词
Deep learning,Adaptation models,Sensitivity,Optical coherence tomography,Retina,Feature extraction,Classification algorithms
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