Deep-learning based, automated segmentation of macular edema in optical coherence tomography-Reference-Cited by-同舟云学术

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Deep-learning based, automated segmentation of macular edema in optical coherence tomography

Published:2017-06-23 Issue:7 Volume:8 Page:3440
ISSN:2156-7085
Container-title:Biomedical Optics Express
language:en
Short-container-title:Biomed. Opt. Express

Author:

Lee Cecilia S.,Tyring Ariel J.,Deruyter Nicolaas P.,Wu Yue,Rokem Ariel,Lee Aaron Y.

Funder

Alfred P. Sloan Foundation

Gordon and Betty Moore Foundation

Latham Vision Science Innovation Grant

National Eye Institute (NEI)

Research to Prevent Blindness (RPB)

Publisher

The Optical Society

Subject

Atomic and Molecular Physics, and Optics,Biotechnology

Reference22 articles.

1. Machine learning methods in chemoinformatics

2. Deep learning

3. Automated Segmentation of Hyperintense Regions in FLAIR MRI Using Deep Learning

4. Improved Automated Detection of Diabetic Retinopathy on a Publicly Available Dataset Through Integration of Deep Learning

5. Comparing humans and deep learning performance for grading AMD: A study in using universal deep features and transfer learning for automated AMD analysis

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