🔬 Sickle Cell Detection — Point-of-Care Screening Tool

Upload a blood smear image captured through a microscope. The model will predict whether sickle cells are present and highlight the regions it focused on using Grad-CAM.

Dataset: Tushabe et al. (2024) Ugandan Clinical Microscopy Dataset Model: ResNet-50 with Transfer Learning — 98.57% accuracy, AUC-ROC 0.9973 Developed by: Okidi Patrovas Gaabriel | Makerere University | MSB7216: Deep Learning for Health Data