| { | |
| "channel_names": { | |
| "0": "T2W", | |
| "1": "ADC", | |
| "2": "HBV" | |
| }, | |
| "labels": { | |
| "background": 0, | |
| "csPCa": 1 | |
| }, | |
| "classification_labels": { | |
| "ISUP_grade": { | |
| "0": "Benign/Indolent", | |
| "1": "ISUP 1", | |
| "2": "ISUP 2", | |
| "3": "ISUP 3", | |
| "4": "ISUP 4", | |
| "5": "ISUP 5" | |
| } | |
| }, | |
| "numTraining": 1500, | |
| "file_ending": ".nii.gz", | |
| "description": "PI-CAI \u2014 prostate MRI (T2W, ADC, HBV) with csPCa binary segmentation and ISUP grade classification (1500 cases from 1476 patients across 11 sites)", | |
| "reference": "Saha A, Bosma JS, Twilt JJ, et al. Artificial intelligence and radiologists in prostate cancer detection on MRI (PI-CAI): an international, paired, non-inferiority, confirmatory study. Lancet Oncol 2024; 25: 879-887.", | |
| "license": "CC-BY-NC 4.0", | |
| "name": "Dataset007_PICAI", | |
| "release": "1.0" | |
| } |