Leukemia Classification using a Convolutional Neural Network of AML Images

• DOI: 10.11113/mjfas.v19n3.2901
• Publication Date: 2023-05-26T04:51:12Z
• Authors: Karrar A. Kadhim; Fallah H Najjar; Ali Abdulhussein ...; Ibrahim H Al-Kharsan; Zaid Nidhal Khudhair; Ali Aqeel Salim
• Keywords: 03 medical and health sciences; 0302 clinical medicine; 3. Good health

Among the most pressing issues in the field of illness diagnostics is identifying and diagnosing leukemia at its earliest stages, which requires accurate distinction of malignant leukocytes at a low cost. Leukemia is quite common, yet laboratory diagnostic centres often lack the necessary technology to diagnose the disease properly, and the available procedures take a long time. They are considering the efficacy of machine learning (ML) in illness diagnostics and that deep learning as a machine learning method is becoming critical. This study proposes a convolutional neural network (CNN) deep learning model for leukemia diagnosis utilizing the AML (acute myeloid leukemia) dataset. The classification using the proposed method achieved results that exceeded 98% accuracy, the sensitivity of 94.73% and specificity of 98.87%.