Development and Validation of a Deep Learning System for Segmentation of Abdominal Muscle and Fat on Computed Tomography

OBJECTIVE: We aimed to develop and validate a deep learning system for fully automated segmentation of abdominal muscle and fat areas on computed tomography (CT) images. MATERIALS AND METHODS: A fully convolutional network-based segmentation system was developed using a training dataset of 883 CT sc... View More