Improved distinct bone segmentation from upper-body ct using binary-prediction-enhanced multi-class inference

HIGHLIGHTS

• who: Eva Schnider from the Department of Biomedical Engineering, University of Basel, Gewerbestrasse, Allschwil, Switzerland have published the paper: Improved distinct bone segmentation from upper-body CT using binary-prediction-enhanced multi-class inference, in the Journal: (JOURNAL)
• what: The authors propose binary-prediction-enhanced multi-class (BEM) inference which takes into account an additional binary background/bone-tissue prediction to improve the multi-class distinct bone segmentation. The authors evaluate the method using different ways of obtaining the binary prediction contrasting a two-stage approach to four networks with two segmentation heads. The authors . . .
  

   

  

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