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CLC-Net: Contextual and local collaborative network for lesion segmentation in diabetic retinopathy images

  • Published:2023-03 Issue: Volume:527 Page:100-109
  • ISSN:0925-2312
  • Container-title:Neurocomputing
  • language:en
  • Short-container-title:Neurocomputing

Author:

Wang Xiyue,Fang Yuqi,Yang Sen,Zhu Delong,Wang Minghui,Zhang Jing,Zhang Jun,Cheng Jun,Tong Kai-yu,Han Xiao

Funder

National Natural Science Foundation of China

Department of Science and Technology of Sichuan Province

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference49 articles.

1. The evolving diabetes burden in the united states;Engelgau;Ann. Intern. Med.,2004

2. The worldwide epidemic of diabetic retinopathy;Zheng;Indian J. Ophthalmol.,2012

3. L-seg: An end-to-end unified framework for multi-lesion segmentation of fundus images;Guo;Neurocomputing,2019

4. Bin loss for hard exudates segmentation in fundus images;Guo;Neurocomputing,2019

5. Exudate segmentation using fully convolutional neural networks and inception modules;Chudzik,2018

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