Development of a clinical algorithm based on calibrated deep learning algorithm with enhance Open-set & Uncertainty module for the detection and management of skin cancers

Development of a deep learning algorithm for Melanoma open-set detection

The objective of this project is to develop a deep learning based algorithm which is able to automatically classify cancer vs non-cancer skin lesion and also tells if the sample is in-distribution or out-distribution. The performance of the model depends on its own capacity and dataset quality provided by MoleMap.