Topic · Radiology, Nuclear Medicine and Imaging · Medicine

Retinal Imaging and Analysis

OpenAlex topic; a paper is listed when OpenAlex scores it at least 0.5 for this topic.

Bioinformatics·Biomedical Optics ExpressPeer-reviewed·Jun 23, 2017
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Deep-Learning Based, Automated Segmentation Of Macular Edema In Optical Coherence Tomography
Cecilia S. Lee, Ariel J. Tyring, Nicolaas P. DeRuyter…+2 more authors·Aaron Lee
The paper develops a CNN to segment macular edema in OCT images, achieving performance comparable to clinicians.
363 citationstop 1%
imaging·deep learning
·𝕏 Post·Bluesky
Bioinformatics·bioRxivPreprint·Dec 14, 2016
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Deep learning is effective for the classification of OCT images of normal versus Age-related Macular Degeneration
Cecilia S. Lee, Doug M. Baughman, Aaron Lee
This study uses deep learning to classify OCT images as normal or AMD, achieving high accuracy across different levels of analysis.
30 citations
imaging·deep learning
·𝕏 Post·Bluesky