A Robust and Explainable Deep Learning Pipeline with Hybrid Image Enhancement for Sickle Cell Detection
In this study, a hybrid image enhancement and explainable deep learning framework is proposed for the automatic detection of morphological features associated with sickle cell disease in microscopic peripheral blood smear images. The experimental dataset comprises 991 images and exhibits a pronounced class imbalance. T...