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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| 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
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| Series: | Electronic Research Archive |
| Subjects: | |
| Online Access: | https://www.aimspress.com/article/doi/10.3934/era.2025033 |
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