This data set was created for use in the\u00a0NCI-ISBI 2013 Challenge - Automated Segmentation of Prostate Structures<\/a>. \u00a0The challenge data set was divided into 3 parts including training, leaderboard and test data sets. \u00a0This allowed participants to prepare their algorithms and test their results prior to submitting to a final test phase for selecting the winner.<\/p> Image data were selected from\u00a0PROSTATE-DIAGNOSIS<\/a>\u00a0and\u00a0Prostate-3T<\/a>\u00a0collections on TCIA. \u00a0Cases consist of axial scans with half\u00a0obtained 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\u00a0either 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.<\/p> 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.<\/p>