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1 article for “Sickle Cell Anaemia”

• Published Subscription Review Article 11 Nov 2024

  Advanced Deep Learning Techniques for Sickle Cell Anaemia Detection

  By Aditya Bagdi, V.S. Baste, Dhaval Bang, Om Bhandare

  Abstract: Sickle Cell Anemia (SCA) is a prevalent genetic blood disorder characterized by the presence of abnormal hemoglobin, resulting in the distinctive sickle shape of red blood cells. Timely and accurate identification of Sickle Cell Anemia (SCA) is essential for effective management and treatment. This study presents a new method that utilizes Convolutional Neural Networks (CNNs), a deep learning model particularly effective for image analysis. The process involves using microscopic images …

  Published in Research and Reviews: A Journal of Medicine · Vol. 14, Issue 3, 2024 · pp. 9–15 Read article →