Malaria Parasite Detection and Classification
We developed a deep learning system for malaria detection using DETR and YOLO models, leveraging advanced training techniques and the Malaria Blood Smear Dataset with W&B experiment tracking.
Dec 6, 2024
Detection of Breast Cancer-Related Abnormalities Using Deep Learning Models and Thermal Imaging
We achieved 95.30% accuracy detecting breast cancer abnormalities using vision transformers, CNNs, and advanced interpretability techniques like GradCAM on thermographies.
Oct 6, 2024