RETRACTED: HRU-TNet: Hybrid Residual U-Transformer Network for diabetic retinopathy multi-lesion segmentation

Author:

Shao Dangguo1,Huang Chunsheng1,Liu Cuiyin1,Ma Lei1,Yi Sanli1

Affiliation:

1. School of Information Engineering and Automation at Kunming University of Technology and Key Laboratory of ComputerTechnology Application in Yunnan Province, Kunming, Yunnan, China

Abstract

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.

Publisher

IOS Press

Reference21 articles.

1. The progress in understanding and treatment of diabetic retinopathy[J];Stitt;Progress in Retinal and Eye Research,2016

2. Diabetic retinopathy and diabetic macular edema: pathophysiology, screening, and novel therapies[J];Ciulla;Diabetes Care,2003

3. Diabetic retinopathy: early diagnosis and effective treatment[J];Kollias;Deutsches Arzteblatt International,2010

4. Diabetic retinopathy: global prevalence, major risk factors, screening practices and public health challenges: a review[J];Ting;Clinical & Experimental Ophthalmology,2016

5. CARNet: Cascade attentive RefineNet for multi-lesion segmentation of diabetic retinopathy images[J];Guo;Complex & Intelligent Systems,2022

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