Skin Lesion

DSNet: Automatic dermoscopic skin lesion segmentation

Automatic segmentation of skin lesions is considered a crucial step in Computer-aided Diagnosis (CAD) systems for melanoma detection. Despite its significance, skin lesion segmentation remains an unsolved challenge due to their variability in color, …

Skin Lesion classification

The idea of the project is to apply 2D U-net to Segment the RIO using the publicly available data from ISIC Challenge 2017 and classification of the segmented region for classification of lesion. Multiple OTS model ( Resnet, VGG, Densenet) were used …