File size: 951 Bytes
f14043e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 | {
"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"
} |