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Classification of Findings with Localized Lesions in Fundoscopic Images
  using a Regionally Guided CNN

Classification of Findings with Localized Lesions in Fundoscopic Images using a Regionally Guided CNN

2 November 2018
Jaemin Son
Woong Bae
Sangkeun Kim
S. Park
Kyu-Hwan Jung
ArXiv (abs)PDFHTML

Papers citing "Classification of Findings with Localized Lesions in Fundoscopic Images using a Regionally Guided CNN"

3 / 3 papers shown
Title
Lesion-Specific Prediction with Discriminator-Based Supervised Guided
  Attention Module Enabled GANs in Multiple Sclerosis
Lesion-Specific Prediction with Discriminator-Based Supervised Guided Attention Module Enabled GANs in Multiple Sclerosis
Jueqi Wang
Derek Berger
Erin L. Mazerolle
J. Delamer
J. Levman
MedIm
107
0
0
30 Aug 2022
REFUGE Challenge: A Unified Framework for Evaluating Automated Methods
  for Glaucoma Assessment from Fundus Photographs
REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs
J. Orlando
Huazhu Fu
J. Barbosa-Breda
K. V. Keer
Deepti R. Bathula
...
Fei Li
Xiulan Zhang
Yanwu Xu
Xiulan Zhang
Hrvoje Bogunović
180
626
0
08 Oct 2019
Application of Deep Learning in Fundus Image Processing for Ophthalmic
  Diagnosis -- A Review
Application of Deep Learning in Fundus Image Processing for Ophthalmic Diagnosis -- A Review
S. Sengupta
Amitojdeep Singh
Henry A. Leopold
T. Gulati
Vasudevan Lakshminarayanan
MedIm
88
131
0
09 Dec 2018
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