2 papers
cs.CV2023
Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image Classification
Marawan Elbatel, Hualiang Wang, Robert Martí +2
In the medical field, federated learning commonly deals with highly imbalanced datasets, including skin lesions and gastrointestinal images. Existing federated methods under highly…
eess.IV2019
DSNet: Automatic Dermoscopic Skin Lesion Segmentation
Md. Kamrul Hasan, Lavsen Dahal, Prasad N. Samarakoon +2
Automatic segmentation of skin lesion is considered a crucial step in Computer Aided Diagnosis (CAD) for melanoma diagnosis. Despite its significance, skin lesion segmentation rema…