Leukemia Classification using a Convolutional Neural Network of AML Images

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