Muscle Segmentation

Muscle segmentation, the process of identifying and delineating individual muscles in medical images, aims to provide accurate quantitative measures of muscle volume and shape for various applications. Current research focuses on developing automated segmentation methods using deep learning architectures, such as convolutional neural networks and transformers, often incorporating anatomical priors or domain adaptation techniques to improve accuracy and efficiency, particularly when dealing with image inhomogeneities or limited training data. These advancements are crucial for improving the diagnosis and monitoring of musculoskeletal diseases, optimizing athletic training programs, and facilitating personalized rehabilitation strategies.