FF-ResNet-DR model: a deep learning model for diabetic retinopathy grading by frequency domain attention

FF-ResNet-DR model: a deep learning model for diabetic retinopathy grading by frequency domain attention

Diabetic retinopathy (DR) is a major cause of vision loss. Accurate grading of DR is critical to ensure timely and appropriate intervention. DR progression is primarily characterized by the presence of biomarkers including microaneurysms, hemorrhages, and exudates. These markers are small, scattered...

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Bibliographic Details
Main Authors: Chang Yu, Qian Ma, Jing Li, Qiuyang Zhang, Jin Yao, Biao Yan, Zhenhua Wang
Format: Article
Language:English
Published: AIMS Press 2025-02-01
Series:Electronic Research Archive
Subjects:
diabetic retinopathy (dr)
grading model
classification model
color fundus image
attention mechanism
Online Access:https://www.aimspress.com/article/doi/10.3934/era.2025033
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https://www.aimspress.com/article/doi/10.3934/era.2025033

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