PI CAI: Prostate Imaging Cancer AI Challenge (Public Training & Development) The PI CAI Public Training & Development dataset contains 1,500 biparametric MRI (bpMRI) studies from 1,476 patients acquired at four Dutch centers (RUMC, ZGT, PCNN, UMCG) between 2012 and 2021. The challenge targets clinically significant prostate cancer (csPCa, ISUP ≥ 2) detection and segmentation. Dataset Summary Field Details Modality Biparametric MRI: axial/coronal/sagittal T2W + axial high b value (≥ 1000 s/mm²) DWI + axial ADC Body Part Prostate (whole gland + csPCa lesions) Cases 1,500 studies / 1,476 patients Class composition 1,075 benign (ISUP ≤ 1) / 425 csPCa positive (ISUP ≥ 2) Total Size ~26 GB (images) + 139 MB (labels) License CC BY NC 4.0 Data Structure Recommended Ground Truth For csPCa lesion segmentation , use: These are produced by trained investigators under three expert radiologists' supervision, carry granular multi class ISUP labels (0/2/3/4/5) , and are aligned to T2W axial geometry. The PI CAI organizers explicitly recommend them over the AI derived Bosma22a masks, which exist primarily as a complementary semi supervised label source for the originally unannotated 205 positive ca…
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