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Multi-modal, multi-task, multi-attention (M3) deep learning detection of
  reticular pseudodrusen: towards automated and accessible classification of
  age-related macular degeneration
v1v2 (latest)

Multi-modal, multi-task, multi-attention (M3) deep learning detection of reticular pseudodrusen: towards automated and accessible classification of age-related macular degeneration

9 November 2020
Qingyu Chen
T. Keenan
Alexis Allot
Yifan Peng
Elvira Agrón
A. Domalpally
C. Klaver
Daniël T Luttikhuizen
M. Colyer
C. Cukras
H. Wiley
M. Teresa Magone
Chantal Cousineau-Krieger
W. Wong
Yingying Zhu
E. Chew
Zhiyong Lu
    MedIm
ArXiv (abs)PDFHTML

Papers citing "Multi-modal, multi-task, multi-attention (M3) deep learning detection of reticular pseudodrusen: towards automated and accessible classification of age-related macular degeneration"

1 / 1 papers shown
Harnessing the power of longitudinal medical imaging for eye disease
  prognosis using Transformer-based sequence modeling
Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling
G. Holste
Mingquan Lin
Ruiwen Zhou
Haiwei Yang
Lei Liu
...
Kyle Kovacs
Emily Y. Chew
Zhiyong Lu
Zhangyang Wang
Yifan Peng
MedIm
298
0
0
14 May 2024
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