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Semi-Supervised Deep Learning for Multi-Tissue Segmentation from Multi-Contrast MRI |
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| Authors: | Anwar Syed Muhammad Irmakci Ismail Torigian Drew A Jambawalikar Sachin Papadakis Georgios Z Akgun Can Ellermann Jutta Akcakaya Mehmet Bagci Ulas |
| Affiliation: | 1.Center for Research in Computer Vision, University of Central Florida, Orlando, FL, USA ;2.Ege University, Izmir, Turkey ;3.Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA ;4.Columbia University, New York, NY, USA ;5.Foundation for Research and Technology Hellas, Crete, Greece ;6.FlyWheel Inc., Boston, MA, USA ;7.University of Minnesota, Minniapolis, MN, USA ; |
| Abstract: | Journal of Signal Processing Systems - Segmentation of thigh tissues (muscle, fat, inter-muscular adipose tissue (IMAT), bone, and bone marrow) from magnetic resonance imaging (MRI) scans is useful... |
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