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A deep learning approach for automated detection of geographic atrophy
  from color fundus photographs

A deep learning approach for automated detection of geographic atrophy from color fundus photographs

7 June 2019
T. Keenan
S. Dharssi
Yifan Peng
Qingyu Chen
Elvira Agrón
W. Wong
Zhiyong Lu
E. Chew
ArXiv (abs)PDFHTMLGithub (60★)

Papers citing "A deep learning approach for automated detection of geographic atrophy from color fundus photographs"

2 / 2 papers shown
Title
Multi-modal, multi-task, multi-attention (M3) deep learning detection of
  reticular pseudodrusen: towards automated and accessible classification of
  age-related macular degeneration
Multi-modal, multi-task, multi-attention (M3) deep learning detection of reticular pseudodrusen: towards automated and accessible classification of age-related macular degeneration
Qingyu Chen
T. Keenan
Alexis Allot
Yifan Peng
Elvira Agrón
...
Chantal Cousineau-Krieger
W. Wong
Yingying Zhu
E. Chew
Zhiyong Lu
MedIm
52
21
0
09 Nov 2020
A deep learning model for segmentation of geographic atrophy to study
  its long-term natural history
A deep learning model for segmentation of geographic atrophy to study its long-term natural history
B. Liefers
J. Colijn
C. González-Gonzalo
T. Verzijden
P. Mitchell
C. Hoyng
Bram van Ginneken
C. Klaver
C. I. Sánchez
21
58
0
15 Aug 2019
1