Source code for the paper 'Data Augmentation for Skin Lesion Analysis' — 🏆 Best Paper Award at the ISIC Skin Image Analysis Workshop @ MICCAI 2018

Rank3 Code for ISIC 2018: Skin Lesion Analysis Towards Melanoma Detection, Task 3

Analysis of the dermoscopic image processing pipeline toward optimally segmenting skin lesion regions and classifying lesion types using adversarial and generative deep learning.

Code and experiments for fine-grained grounding in dermoscopic skin-lesion classification (ISIC). Implements comparison-based CAM methods to highlight discriminative features between clinically similar diagnoses (e.g., melanoma vs nevus) and evaluates interpretability with quantitative + qualitative metrics.