A graph convolutional network with dynamic weight fusion of multi-scale local features for diabetic retinopathy grading

A graph convolutional network with dynamic weight fusion of multi-scale local features for diabetic retinopathy grading

Abstract Diabetic retinopathy (DR) is a serious ocular complication that can pose a serious risk to a patient’s vision and overall health. Currently, the automatic grading of DR is mainly using deep learning techniques. However, the lesion information in DR images is complex, variable in shape and s...

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Bibliographic Details
Main Authors:	Yipeng Wang, Liejun Wang, Zhiqing Guo, Shiji Song, Yanhong Li
Format:	Article
Language:	English
Published:	Nature Portfolio 2024-03-01
Series:	Scientific Reports
Online Access:	https://doi.org/10.1038/s41598-024-56389-4

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