{
 "id": "MedOtter/PI-CAI",
 "owner": "MedOtter",
 "name": "PI-CAI",
 "downloads": 10260,
 "likes": 0,
 "last_modified": "2026-05-01T00:36:03.000Z",
 "stated_licence": "cc-by-nc-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "image-segmentation"
 ],
 "citation": "@article{saha2024picai,\n  title   = {Artificial intelligence and radiologists in prostate cancer detection on MRI (PI-CAI): an international, paired, non-inferiority, confirmatory study},\n  author  = {Saha, Anindo and Bosma, Joeran S and Twilt, Jasper J and van Ginneken, Bram and Bjartell, Anders and Padhani, Anwar R and others},\n  journal = {The Lancet Oncology},\n  volume  = {25},\n  number  = {7},\n  pages   = {879--887},\n  year    = {2024},\n  doi     = {10.1016/S1470-2045(24)00220-1}\n}\n\n@dataset{picai_public_training_2022,\n  title     = {The PI-CAI Challenge: Public Training and Development Dataset},\n  author    = {Saha, Anindo and Twilt, Jasper J and Bosma, Joeran S and others},\n  year      = 2022,\n  publisher = {Zenodo},\n  doi       = {10.5281/zenodo.6624726},\n  url       = {https://doi.org/10.5281/zenodo.6624726}\n}",
 "signal": "restrictive",
 "reason": "The declared licence (cc-by-nc-4.0) is classified as having use restrictions.",
 "revision": "34866de6ff35cd9c8a4f5643234f0d94d04d5fc5",
 "stated_evidence": "https://huggingface.co/datasets/MedOtter/PI-CAI/blob/34866de6ff35cd9c8a4f5643234f0d94d04d5fc5/README.md",
 "file_evidence": "https://huggingface.co/datasets/MedOtter/PI-CAI/tree/34866de6ff35cd9c8a4f5643234f0d94d04d5fc5",
 "card_nc": false
}