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Improved Diabetic Retinopathy Severity Classification Using Squeeze-and-excitation and Sparse Light Weight Multi-level Attention U-net With Transfer Learning From Xception

2024-02-13

Abstract excerpt

<title>Abstract</title> <p>Diabetic Retinopathy (DR) is a leading cause of vision loss among diabetic patients. Early detection and accurate severity classification of DR play a crucial role in preventing its progression and managing patient care effectively. In this paper, we propose an improved DR severity classification approach that leverages advanced architectural enhancements and transfer learning technique...

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Literature Corpus work
04adf15b-937d-5c67-82cd-678b5dc2c3ab
DOI
10.21203/rs.3.rs-3942706/v1
Open publication

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Improved Diabetic Retinopathy Severity Classification Using Squeeze-and-excitation and Sparse Light Weight Multi-level Attention U-net With Transfer Learning From XceptionDOI 10.21203/rs.3.rs-3942706/v1
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