The project aimed to investigate and implement state-of-the-art methods to enhance the explainability, interpretability, and robustness of deep learning networks in the context of 6G Sky applications.
The goal of this project is to predict prostate cancer by implementing the learning pipeline with self-supervised learning and transfer learning.
