Adaptive learning Unet‐based adversarial network with CNN and transformer for segmentation of hard exudates in diabetes retinopathy

Adaptive learning Unet‐based adversarial network with CNN and transformer for segmentation of hard exudates in diabetes retinopathy

Abstract Accurate segmentation of hard exudates in early non‐proliferative diabetic retinopathy can assist physicians in taking appropriate treatment in a more targeted manner, in order to avoid more serious damage to vision caused by the deterioration of the disease in the later stages. Here, an Ad...

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Bibliographic Details
Main Authors: Xinfeng Zhang, Jiaming Zhang, Yitian Zhang, Maoshen Jia, Hui Li, Xiaomin Liu
Format: Article
Language:English
Published: Wiley 2023-09-01
Series:IET Image Processing
Subjects:
computer vision
convolutional neural nets
image segmentation
medical image processing
Online Access:https://doi.org/10.1049/ipr2.12865

Internet

https://doi.org/10.1049/ipr2.12865

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