DTUNet: dual branch transformer U-Net for hard exudate segmentation in retinal image-Reference-Cited by-同舟云学术

DTUNet: dual branch transformer U-Net for hard exudate segmentation in retinal image

Published:2023-08-01 Issue:04 Volume:32 Page:
ISSN:1017-9909
Container-title:Journal of Electronic Imaging
language:
Short-container-title:J. Electron. Imag.

Author:

Wen Haiqi¹,He Kan¹,Feng Xiufang¹,Lan Fangpeng²,Liang Xing³

Affiliation:

1. Taiyuan University of Technology, School of Software, Taiyuan, China

2. Taiyuan University of Technology, College of Computer Science and Technology, Taiyuan, China

3. Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Department of Ophthalmology, Taiyuan, China

Publisher

SPIE-Intl Soc Optical Eng

Subject

Electrical and Electronic Engineering,Computer Science Applications,Atomic and Molecular Physics, and Optics

Reference46 articles.

1. Automated Detection and Diagnosis of Diabetic Retinopathy: A Comprehensive Survey

2. In vivo multimodal retinal imaging of disease-related pigmentary changes in retinal pigment epithelium

3. In Situ Morphologic and Spectral Characterization of Retinal Pigment Epithelium Organelles in Mice Using Multicolor Confocal Fluorescence Imaging

4. Automated detection of exudates and macula for grading of diabetic macular edema

5. The Wisconsin Epidemiologic Study of Diabetic Retinopathy

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