most citedImproving Sickle Cell Disease Classification: A Fusion of Conventional Classifiers, Segmented Images, and Convolutional Neural Networks

3 citations · 3 across the 1 of their papers we have counts for

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cs.CV2024★ 3 cited

Improving Sickle Cell Disease Classification: A Fusion of Conventional Classifiers, Segmented Images, and Convolutional Neural Networks

Victor Júnio Alcântara Cardoso, Rodrigo Moreira, João Fernando Mari +1

Sickle cell anemia, which is characterized by abnormal erythrocyte morphology, can be detected using microscopic images. Computational techniques in medicine enhance the diagnosis…