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A Dual-Modal Machine Learning Framework Integrating Red Blood Indices and Smartphone-Captured Microscopic Images for β-Thalassemia Screening

2025-12-08

Abstract excerpt

<title>Abstract</title> <p> <bold>Background</bold> Thalassemia is the most prevalent single-gene disorder in Sri Lanka, imposing a significant socioeconomic and healthcare burden. Early carrier detection is essential for genetic counselling and the prevention of thalassemia major births. Current screening programs rely on red cell indices, manual examination of blood smears by expert haematologists, and expens...

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Literature Corpus work
a69838dc-4924-50d6-9d4f-0f10c52b0e4e
DOI
10.21203/rs.3.rs-8281069/v1
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A Dual-Modal Machine Learning Framework Integrating Red Blood Indices and Smartphone-Captured Microscopic Images for β-Thalassemia ScreeningDOI 10.21203/rs.3.rs-8281069/v1
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