Reliable leukemia detection via transfer-enhanced Bayesian CNNs
Accurate and early detection of Acute Lymphoblastic Leukemia (ALL) is critical for timely intervention and improved patient outcomes. However, the development of reliable deep learning models for hematological image analysis is challenged by limited data availability, dataset bias, and the need for trustworthy predictions in clinical settings. In this study, we propose a Bayesian deep learning fra
