/Mixing-weakly-supervised-and-self-supervised-learning-techniques-for-melanoma-relapse-detection

This project focuses on the VisioMel Challenge whose goal is predicting melanoma relapse. Recent advancements in SSL and WSL offer promising new solutions for improving the accuracy of cancer relapse detection.

Primary LanguageJupyter NotebookMIT LicenseMIT

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