Deep transfer learning has emerged as a powerful paradigm in image classification, enabling models to leverage knowledge acquired from large, labelled datasets to perform effectively on new tasks with ...

Researchers developed a self-supervised deep learning model that accurately classifies skeletal muscle pathology in mouse ...

MapNet, an end-to-end deep learning framework that combines multi-scale feature extraction, sequential residual refinement, ...