Child pages
  • NCI-ISBI 2013 Challenge: Automated Segmentation of Prostate Structures
Skip to end of metadata
Go to start of metadata

Data Citation

Nicholas Bloch, Anant Madabhushi, Henkjan Huisman, John Freymann, Justin Kirby, Michael Grauer, Andinet Enquobahrie, Carl Jaffe, Larry Clarke, Keyvan Farahani. (2015). NCI-ISBI 2013 Challenge: Automated Segmentation of Prostate Structures. The Cancer Imaging Archive.


This data set was created for use at the NCI-ISBI 2013 Challenge - Automated Segmentation of Prostate Structures.  The challenge data set was divided into 3 parts including training, leaderboard and test data sets.  This allowed participants to prepare their algorithms and test their results prior to submitting to a final test phase for selecting the winner.

Image data were selected from PROSTATE-DIAGNOSIS and Prostate-3T collections on TCIA.  Cases consist of axial scans with half obtained at 1.5 T (Philips Achieva) with an endo-rectal receiver coil (fromBostonMedicalCenter) and the other half at 3T (Siemens TIM) with a surface coil (from Radboud University Nijmegen Medical Centre [RUNMC],Netherlands). They were acquired as T2-weighted MR axial pulse sequences with either 4 mm thick slices at 3T or 3 mm thick at 1.5T. Each file contains nearly all DICOM acquisition parameters except tags that specifically identify Private Health Information. 

Each case has had central gland (CG) and peripheral zone (PZ) outlines marked by Drs. Nicolas Bloch (Boston University School of Medicine) and Mirabela Rusu (Case Western University) or Drs. Henkjan Huisman, Geert Litjens, or Jurgen Futterer at RUNMC Netherlands.



  • Image Data — Save/open this links below to initiate our Java Web Start download manager to begin your download
    • Training - 60 subjects, DICOM prostate MRI
    • Leaderboard - 10 subjects, DICOM prostate MRI
    • Test - 10 subjects, DICOM prostate MRI


  • No labels