Mohammad R. Hassan

Explainable machine learning for leukaemia diagnosis: enhancing interpretability and trust

One of the major challenges in applying machine learning (ML) to leukaemia diagnosis is the limited interpretability of deep learning models such as artificial neural networks (ANNs) and convolutional neural networks (CNNs). While these models excel at detecting complex patterns in medical data, they often function as...