Fully automatic whole-volume tumor segmentation in cervical cancer

HIGHLIGHTS

• who: Firstname Lastname and colleagues from the Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital have published the research: Fully Automatic Whole-Volume Tumor Segmentation in Cervical Cancer, in the Journal: (JOURNAL) of 16/06/2020
• what: By training the platform on multiparametric pelvic MRI data in patients diagnosed with uterine CC the authors aimed to evaluate a DL algorithm for automated primary tumor segmentation in CC. This approach attempts to take advantage of the inherent certainty built into the hlDL network, being expressed as high activation values whenever the network . . .
  

   

  

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