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Retinal Vessel Segmentation in Medical Diagnosis using Multi-scale Attention Generative Adversarial Networks by Minqiang Yang; Yinru Ye; Kai Ye; Wei Zhou; Xiping Hu; Bin Hu is a Computer Science article available to read on EtoBox.

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With the advancement of medical technology, the demand for efficient and precise medical diagnosis is growing. Retinal vessel segmentation using artificial intelligence techniques is vital for medical diagnosis of degenerative retinal diseases. In this paper, we introduce a multi-scale generative adversarial network with class activation mapping, which can effectively improve the efficiency and accuracy of vessel segmentation using artificial intelligence. The task of vessel segmentation is better achieved due to our proposed architecture, which incorporates an attention mechanism and a multiscale discrimination. It not only strengthens the ability to locate and segment fine retinal vessels, but also enables the model to have the ability to discriminate different receptive fields. To tackle the instability problem caused by unsupervised learning of generative adversarial networks, we introduce a supervised segmentation loss to improve model stability and convergence speed. And we propose a data augmentation method by reconstructing and combining fundus images to make the model obtain better generalization ability. We compare our method with previous models by several metrics and pe

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Author

Minqiang Yang; Yinru Ye; Kai Ye; Wei Zhou; Xiping Hu; Bin Hu

Publisher

Springer Science and Business Media LLC

Published

2023

Language

EN

Field

Computer Science (Physical Sciences)