A deep learning masked segmentation alternative to manual segmentation in biparametric mri prostate cancer radiomics

HIGHLIGHTS

• who: Jeroen Bleker from the Department of, Treant Zorggroep, DrGHAmshoffweg, AA Hoogeveen, The Netherlands Department of Urology, University Medical Center have published the research work: A deep learning masked segmentation alternative to manual segmentation in biparametric MRI prostate cancer radiomics, in the Journal: (JOURNAL)
• what: The authors propose combining the auto-fixed VOI method with a deep learning-based segmentation that removes all unwanted voxels from the VOI that are located outside the prostate (Fig 1C). The aim of this study was to determine the value of a DLM auto-fixed VOI segmentation method as . . .
  

   

  

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