Abstract
The use of Deep Neural Networks (DNNs), such as Convolutional Neural Networks and Vision Transformers, has become very popular in the classification of medical images. Despite the success of DNNs, there are significant challenges to overcome, especially regarding the explainability and reliability of these algorithms. This project aims to enhance the understanding and reliability of class…