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Combining Fine- and Coarse-Grained Classifiers for Diabetic Retinopathy
  Detection

Combining Fine- and Coarse-Grained Classifiers for Diabetic Retinopathy Detection

Annual Conference on Medical Image Understanding and Analysis (MIUA), 2019
28 May 2020
Muhammad Naseer Bajwa
Yoshinobu Taniguchi
M. I. Malik
Wolfgang Neumeier
Andreas Dengel
Sheraz Ahmed
ArXiv (abs)PDFHTML

Papers citing "Combining Fine- and Coarse-Grained Classifiers for Diabetic Retinopathy Detection"

3 / 3 papers shown
On the Robustness of Pretraining and Self-Supervision for a Deep
  Learning-based Analysis of Diabetic Retinopathy
On the Robustness of Pretraining and Self-Supervision for a Deep Learning-based Analysis of Diabetic Retinopathy
Vignesh Srinivasan
Nils Strodthoff
Jackie Ma
Alexander Binder
Klaus-Robert Muller
Wojciech Samek
OOD
220
7
0
25 Jun 2021
Learning Discriminative Representations for Fine-Grained Diabetic
  Retinopathy Grading
Learning Discriminative Representations for Fine-Grained Diabetic Retinopathy Grading
Li Tian
Liyan Ma
Zhijie Wen
Shaorong Xie
Yupeng Xu
MedIm
164
5
0
04 Nov 2020
G1020: A Benchmark Retinal Fundus Image Dataset for Computer-Aided
  Glaucoma Detection
G1020: A Benchmark Retinal Fundus Image Dataset for Computer-Aided Glaucoma DetectionIEEE International Joint Conference on Neural Network (IJCNN), 2020
Muhammad Naseer Bajwa
Gurbinder Singh
Wolfgang Neumeier
M. I. Malik
Andreas Dengel
Sheraz Ahmed
245
112
0
28 May 2020
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