Abstract: Early detection of skin cancer (SC) is paramount for effective treatment. Although convolutional neural networks (CNN) have facilitated automated learning of high-level features from ...

This project explores how generative models can help address class imbalance in bone tumor X-ray classification. We use the BTXRD dataset, which contains X-ray images of different primary bone tumor ...

To our knowledge, this study is the first to apply deep learning models that can, beyond diagnosis, identify molecular subtypes and predict outcomes in a single brain tumour entity (meningioma) using ...

Abstract: Few-shot image classification (FSIC) is a critical task in computer vision that aims to accurately classify new categories with only a limited number of labeled examples. This capability is ...