Semi-automatic geographic atrophy segmentation for SD-OCT images-Reference-Cited by-同舟云学术

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Semi-automatic geographic atrophy segmentation for SD-OCT images

Published:2013-11-01 Issue:12 Volume:4 Page:2729
ISSN:2156-7085
Container-title:Biomedical Optics Express
language:en
Short-container-title:Biomed. Opt. Express

Author:

Chen Qiang,de Sisternes Luis,Leng Theodore,Zheng Luoluo,Kutzscher Lauren,Rubin Daniel L.

Funder

National Cancer Institute (NCI)

Publisher

The Optical Society

Subject

Atomic and Molecular Physics, and Optics,Biotechnology

Reference32 articles.

1. Ten-Year Incidence and Progression of Age-Related Maculopathy

2. Fifteen-Year Cumulative Incidence of Age-Related Macular Degeneration

3. 14-Year Incidence, Progression, and Visual Morbidity of Age-Related MaculopathyThe Copenhagen City Eye Study

4. Geographic Atrophy of the Retinal Pigment Epithelium

5. Atrophic Macular Degeneration

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1. Recurrent and Concurrent Prediction of Longitudinal Progression of Stargardt Atrophy and Geographic Atrophy towards Comparative Performance on Optical Coherence Tomography as on Fundus Autofluorescence;Applied Sciences;2024-09-03

2. Mirrored X-Net: Joint classification and contrastive learning for weakly supervised GA segmentation in SD-OCT;Pattern Recognition;2024-09

3. Recurrent and Concurrent Prediction of Longitudinal Progression of Stargardt Atrophy and Geographic Atrophy;2024-02-13

4. Deep-GA-Net for Accurate and Explainable Detection of Geographic Atrophy on OCT Scans;Ophthalmology Science;2023-12

5. Attention-based 3D convolutional networks for detection of geographic atrophy from optical coherence tomography scans;Medical Imaging 2023: Image Processing;2023-04-03

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