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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

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
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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"

2 / 2 papers shown
Title
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
Fei-Yue Wang
Lei Liu
...
Kyle Kovacs
Emily Y. Chew
Zhiyong Lu
Zhangyang Wang
Yifan Peng
MedIm
24
0
0
14 May 2024
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
278
10,608
0
19 Feb 2017
1