This toolbox provides functions to perform automated muscle segmentation. For this trained convolutional neural network using the UNET architecture are included. Currently we support the segmentations of 14 leg and 17 thigh muscles as well as segmentation of all lower extremity bones. Back››
- Ronneberger O, Fischer P, Brox T (2015) U-net: Convolutional networks for biomedical image segmentation. 9351:234–241. link››
- Rohm M, Markmann M, Forsting J, Rehmann R, Froeling M, Schlaffke L. (2021). 3D automated segmentation of lower leg muscles using machine learning on a heterogeneous dataset. Diagnostics. 11(10):1747. link››