A deep hybrid feature extraction model based on MobileNet and vision transformer for acute lymphoblastic leukemia prediction
Early and accurate identification of Acute Lymphoblastic Leukemia (ALL) from peripheral blood smear images can support microscopic screening, but reliable evaluation requires both discriminative feature learning and transparent reporting of the experimental protocol. This study presents MoViTHAFX-Net, a hybrid Mobile...