An Artificial Intelligence Framework for Detection of Leukemia with Comparison Between Segmented and Non-Segmented Images
Background: Accurate classification of Acute Lymphoblastic Leukemia (ALL) subtypes from peripheral blood smear (PBS) images using deep learning may support automated image-based analysis of this blood malignancy. Methods: We developed a custom lightweight Convolutional Neural Network (CNN) to classify white blood cells...