Hybrid Attention Network Detects Acute Lymphoblastic Leukemia With Ninety-Five Percent Cross-Validated Accuracy
A dual-branch neural architecture fusing convolutional and transformer representations achieves 95.38 percent stratified cross-validated accuracy in distinguishing acute lymphoblastic leukemia ...



