Byra, Michal <br/><br/>
Knee menisci segmentation and relaxometry of 3D ultrashort echo time cones MR imaging using attention U-Net with transfer learning.  [electronic resource] 

 -  Magnetic resonance in medicine  03 2020 
 - 1109-1122 p.  digital 
<br/><br/> Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S. 
<br/><br/><label>ISSN: </label>1522-2594 
<br/><br/><label>Standard No.: </label>10.1002/mrm.27969  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Adult<br/>Aged<br/>Aged, 80 and over<br/>Algorithms<br/>Deep Learning<br/>Female<br/>Humans<br/>Image Processing, Computer-Assisted--methods<br/>Imaging, Three-Dimensional<br/>Linear Models<br/>Magnetic Resonance Imaging<br/>Male<br/>Menisci, Tibial--diagnostic imaging<br/>Middle Aged<br/>Neural Networks, Computer<br/>Observer Variation<br/>Pattern Recognition, Automated<br/>Radiology<br/>Reproducibility of Results<br/>Young Adult