Sgu-net: shape-guided ultralight network for abdominal image segmentation

HIGHLIGHTS

• who: . and colleagues from the where E(u00b7) is the encoding of the predicted shape of the segmentation network with the shape of ground truthIV. E XPERIMENTS A. Datasets and Pre-processing In our experiments, the Combined (CT-MR) healthy abdominal organ segmentation (CHAOS) [8] and the Liver Tumor Segmentation Challenge (LiTS) [51] are considered as experimental datasets. The CHAOS from the CHAOS challenge is collected by the Department of Radiology, Dokuz Eylul University Hospital, Izmir, Turkey. It contains a total of , cases, in which , cases are abdominal CT scans containing ground truth of liver segmentation, and . . .
  

   

  

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