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Advanced Machine Learning Techniques for Retinal Lesion Segmentation: A Comprehensive Review Across Ophthalmic Pathologies

2025-05-20

Abstract excerpt

<title>Abstract</title> <p>Automated segmentation of retinal lesions using machine learning methods represents a cru- cial tool for diagnosing and monitoring ophthalmic diseases such as diabetic retinopathy (DR), retinopathy of prematurity (ROP), pathological myopia, and age-related macular degeneration (AMD). This review systematically evaluates the current state of machine learning- and deep learning-based segm...

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Literature Corpus work
5a62ac4e-f85c-5637-9db5-ef0177654816
DOI
10.21203/rs.3.rs-6614538/v1
Open publication

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Advanced Machine Learning Techniques for Retinal Lesion Segmentation: A Comprehensive Review Across Ophthalmic PathologiesDOI 10.21203/rs.3.rs-6614538/v1
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