Muhammad Awais

A Hybrid ViT-ECA-CF Framework with Adaptive Loss Reweighting for Imbalanced White Blood Cell Classification

Background: White blood cells (WBCs), also known as leukocytes, play a central role in immune defense, and accurate WBC classification is essential for a hematological assessment and computer-assisted diagnosis. However, a severe class imbalance remains a major challenge in deep-...

An Explainable Deep Learning Framework for Musculoskeletal Abnormality Detection

Accurate detection of musculoskeletal abnormalities from radiographs remains challenging because abnormal findings can be subtle and radiographic appearance may vary considerably across examinations. This study aimed to develop and systematically evaluate a deep learning framewor...