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Machine Learning-Based Non-Invasive Diagnosis of Anemia in Children Using Palm Image Analysis
2026-01-30
hematology
Title + abstract only
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Anemia, particularly iron-deficiency anemia, is a critical global health concern, with a high prevalence among children under six years of age. Early and non-invasive detection can significantly improve health outcomes. This study proposes a computer vision and machine learning framework for anemia screening and hemoglobin (Hb) level prediction using palmar images from pediatric subjects. The region of interest (palm) was segmented using a U-Net model, achieving a Dice coefficient of 0.96. Image...
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