Pelvic u-net: multi-label semantic segmentation of pelvic organs at risk for radiation therapy anal cancer patients using a deeply supervised shuffle attention convolutional neural network

HIGHLIGHTS

• who: Michael Lempart from the Physics, Sku00e5ne University Hospital, Lund, Sweden have published the research: Pelvic U-Net: multi-label semantic segmentation of pelvic organs at risk for radiation therapy anal cancer patients using a deeply supervised shuffle attention convolutional neural network, in the Journal: (JOURNAL)
• what: The aim of this study was to develop and evaluate a deep learning model for automated and improved segmentations of OAR in the region. The authors propose the Pelvic U-Net architecture for automated and improved pelvic OAR segmentation. Although direct comparisons with other studies should be undertaken . . .
  

   

  

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