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Segmentation, Classification, and Quality Assessment of UW-OCTA Images
  for the Diagnosis of Diabetic Retinopathy

Segmentation, Classification, and Quality Assessment of UW-OCTA Images for the Diagnosis of Diabetic Retinopathy

21 November 2022
Yi-Hsuan Li
Rachid Zeghlache
Ikram Brahim
Hui Xu
Yubo Tan
Pierre-Henri Conze
M. Lamard
G. Quellec
Mostafa EL HABIB DAHO
ArXivPDFHTML

Papers citing "Segmentation, Classification, and Quality Assessment of UW-OCTA Images for the Diagnosis of Diabetic Retinopathy"

2 / 2 papers shown
Title
Deep image mining for diabetic retinopathy screening
Deep image mining for diabetic retinopathy screening
G. Quellec
K. Charrière
Yassine Boudi
B. Cochener
M. Lamard
MedIm
34
413
0
22 Oct 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
249
36,362
0
25 Aug 2016
1