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 ...
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 ...
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