This project is part of the Udacity Deep Learning Nanodegree course, and is based on the 2017 ISIC Challenge on Skin Lesion Analysis Towards Melanoma Detection.
All the data presented and objective are pulled from there.
The aim of this project is to design an algorithm that can visually diagnose melanoma, the deadliest form of skin cancer. The algorithm will distinguish this malignant skin tumor from two types of benign lesions (nevi and seborrheic keratoses).
As part of the challenge, participants were tasked to design an algorithm to diagnose skin lesion images as one of three different skin diseases (melanoma, nevus, or seborrheic keratosis).
