{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,25]],"date-time":"2026-10-25T03:30:27Z","timestamp":1792899027313,"version":"4.5.0"},"reference-count":21,"publisher":"Elsevier BV","issue":"10","license":[{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"vor","delay-in-days":365,"URL":"http:\/\/www.elsevier.com\/open-access\/userlicense\/1.0\/"}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","em-consulte.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Diagnostic and Interventional Imaging"],"published-print":{"date-parts":[[2024,10]]},"DOI":"10.1016\/j.diii.2024.07.002","type":"journal-article","created":{"date-parts":[[2024,7,23]],"date-time":"2024-07-23T07:43:38Z","timestamp":1721720618000},"page":"395-399","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":14,"title":["Detection and characterization of pancreatic lesion with artificial intelligence: The SFR 2023 artificial intelligence data challenge"],"prefix":"10.1016","volume":"105","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6286-6884","authenticated-orcid":false,"given":"Theodore","family":"Aouad","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Valerie","family":"Laurent","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Paul","family":"Levant","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Agnes","family":"Rode","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nina","family":"Brillat-Savarin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"P\u00e9n\u00e9lope","family":"Gaillot","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christine","family":"Hoeffel","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eric","family":"Frampas","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0360-0875","authenticated-orcid":false,"given":"Maxime","family":"Barat","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3794-1635","authenticated-orcid":false,"given":"Roberta","family":"Russo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mathilde","family":"Wagner","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Magaly","family":"Zappa","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Olivier","family":"Ernst","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9621-5174","authenticated-orcid":false,"given":"Anais","family":"Delagnes","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Quentin","family":"Fillias","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lama","family":"Dawi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"C\u00e9line","family":"Savoye-Collet","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pauline","family":"Copin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Paul","family":"Calame","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6055-8191","authenticated-orcid":false,"given":"Edouard","family":"Reizine","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0331-9474","authenticated-orcid":false,"given":"Alain","family":"Luciani","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marie-France","family":"Bellin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2179-3498","authenticated-orcid":false,"given":"Hugues","family":"Talbot","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nathalie","family":"Lassau","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.diii.2024.07.002_bib0001","doi-asserted-by":"crossref","first-page":"2008","DOI":"10.1016\/S0140-6736(20)30974-0","article-title":"Pancreatic cancer","volume":"395","author":"Mizrahi","year":"2020","journal-title":"Lancet"},{"key":"10.1016\/j.diii.2024.07.002_bib0002","doi-asserted-by":"crossref","first-page":"284","DOI":"10.1053\/j.seminoncol.2007.05.005","article-title":"Detecting early pancreatic cancer: problems and prospects","volume":"34","author":"Chari","year":"2007","journal-title":"Semin Oncol"},{"key":"10.1016\/j.diii.2024.07.002_bib0003","doi-asserted-by":"crossref","first-page":"693","DOI":"10.1097\/MPA.0000000000000368","article-title":"Early detection of sporadic pancreatic cancer: summative review","volume":"44","author":"Chari","year":"2015","journal-title":"Pancreas"},{"key":"10.1016\/j.diii.2024.07.002_bib0004","doi-asserted-by":"crossref","first-page":"1495","DOI":"10.1016\/j.pan.2020.07.410","article-title":"Computerized tomography scan in pre-diagnostic pancreatic ductal adenocarcinoma: stages of progression and potential benefits of early intervention: a retrospective study","volume":"20","author":"Singh","year":"2020","journal-title":"Pancreatology"},{"key":"10.1016\/j.diii.2024.07.002_bib0005","doi-asserted-by":"crossref","first-page":"555","DOI":"10.1080\/17474124.2023.2217354","article-title":"Screening for pancreatic cancer has the potential to save lives, but is it practical?","volume":"17","author":"Mazer","year":"2023","journal-title":"Expert Rev Gastroenterol Hepatol"},{"key":"10.1016\/j.diii.2024.07.002_bib0006","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1097\/MPA.0000000000001762","article-title":"Artificial intelligence and early detection of pancreatic cancer: 2020 summative review","volume":"50","author":"Kenner","year":"2021","journal-title":"Pancreas"},{"key":"10.1016\/j.diii.2024.07.002_bib0007","doi-asserted-by":"crossref","first-page":"514","DOI":"10.1007\/s11604-021-01098-5","article-title":"Artificial intelligence: a critical review of current applications in pancreatic imaging","volume":"39","author":"Barat","year":"2021","journal-title":"Jpn J Radiol"},{"key":"10.1016\/j.diii.2024.07.002_bib0008","doi-asserted-by":"crossref","first-page":"435","DOI":"10.1016\/j.diii.2023.03.002","article-title":"A primer on artificial intelligence in pancreatic imaging","volume":"104","author":"Ahmed","year":"2023","journal-title":"Diagn Interv Imaging"},{"key":"10.1016\/j.diii.2024.07.002_bib0009","doi-asserted-by":"crossref","first-page":"172","DOI":"10.1148\/radiol.220152","article-title":"Pancreatic cancer detection on CT scans with deep learning: a nationwide population-based study","volume":"306","author":"Chen","year":"2023","journal-title":"Radiology"},{"key":"10.1016\/j.diii.2024.07.002_bib0010","doi-asserted-by":"crossref","first-page":"1533","DOI":"10.1053\/j.gastro.2023.08.034","article-title":"Automated artificial intelligence model trained on a large data set can detect pancreas cancer on diagnostic CT as well as visually occult preinvasive cancer on prediagnostic CT","volume":"165","author":"Korfiatis","year":"2023","journal-title":"Gastroenterology"},{"key":"10.1016\/j.diii.2024.07.002_bib0011","doi-asserted-by":"crossref","first-page":"438","DOI":"10.3390\/diagnostics14040438","article-title":"Pancreatic adenocarcinoma: imaging modalities and the role of artificial intelligence in analyzing CT and MRI images","volume":"14","author":"Anghel","year":"2024","journal-title":"Diagnostics"},{"key":"10.1016\/j.diii.2024.07.002_bib0012","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1016\/j.diii.2019.02.001","article-title":"Five simultaneous artificial intelligence data challenges on ultrasound, CT, and MRI","volume":"100","author":"Lassau","year":"2019","journal-title":"Diagn Interv Imaging"},{"key":"10.1016\/j.diii.2024.07.002_bib0013","doi-asserted-by":"crossref","first-page":"783","DOI":"10.1016\/j.diii.2020.03.006","article-title":"Three artificial intelligence data challenges based on CT and MRI","volume":"101","author":"Lassau","year":"2020","journal-title":"Diagn Interv Imaging"},{"key":"10.1016\/j.diii.2024.07.002_bib0014","doi-asserted-by":"crossref","first-page":"669","DOI":"10.1016\/j.diii.2021.06.005","article-title":"Three artificial intelligence data challenges based on CT and ultrasound","volume":"102","author":"Lassau","year":"2021","journal-title":"Diagn Interv Imaging"},{"key":"10.1016\/j.diii.2024.07.002_bib0015","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/j.diii.2022.09.005","article-title":"Generative adversarial networks (GAN)-based data augmentation of rare liver cancers: the SFR 2021 artificial intelligence data challenge","volume":"104","author":"Mul\u00e9","year":"2023","journal-title":"Diagn Interv Imaging"},{"key":"10.1016\/j.diii.2024.07.002_bib0016","doi-asserted-by":"crossref","first-page":"485","DOI":"10.1016\/j.diii.2023.05.007","article-title":"Detection and quantification of pulmonary embolism with artificial intelligence: the SFR 2022 artificial intelligence data challenge","volume":"104","author":"Belkouchi","year":"2023","journal-title":"Diagn Interv Imaging"},{"key":"10.1016\/j.diii.2024.07.002_bib0017","unstructured":"Grandini M., Bagli E., Visani G. Metrics for multi-class classification: an overview. https:\/\/doi.org\/10.48550\/arXiv.2008.05756 (accessed 22 January 2024)."},{"key":"10.1016\/j.diii.2024.07.002_bib0018","doi-asserted-by":"crossref","DOI":"10.1148\/ryai.210064","article-title":"External validation of deep learning algorithms for radiologic diagnosis: a systematic review","volume":"4","author":"Yu","year":"2022","journal-title":"Radiol Artif Intell"},{"key":"10.1016\/j.diii.2024.07.002_bib0019","doi-asserted-by":"crossref","first-page":"1353","DOI":"10.2214\/AJR.21.26014","article-title":"CT abnormalities of the pancreas associated with the subsequent diagnosis of clinical stage I pancreatic ductal adenocarcinoma more than 1 year later: a case-control study","volume":"217","author":"Toshima","year":"2021","journal-title":"AJR Am J Roentgenol"},{"key":"10.1016\/j.diii.2024.07.002_bib0020","doi-asserted-by":"crossref","first-page":"1111","DOI":"10.1007\/s11604-020-01057-6","article-title":"CT and MRI of pancreatic tumors: an update in the era of radiomics","volume":"38","author":"Bartoli","year":"2020","journal-title":"Jpn J Radiol"},{"key":"10.1016\/j.diii.2024.07.002_bib0021","doi-asserted-by":"crossref","first-page":"351","DOI":"10.1177\/08465371221124927","article-title":"Imaging of pancreatic ductal adenocarcinoma: an update on recent advances","volume":"74","author":"Barat","year":"2023","journal-title":"Can Assoc Radiol J"}],"container-title":["Diagnostic and Interventional Imaging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2211568424001633?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2211568424001633?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T21:03:04Z","timestamp":1759352584000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2211568424001633"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10]]},"references-count":21,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2024,10]]}},"alternative-id":["S2211568424001633"],"URL":"https:\/\/doi.org\/10.1016\/j.diii.2024.07.002","relation":{},"ISSN":["2211-5684"],"issn-type":[{"value":"2211-5684","type":"print"}],"subject":[],"published":{"date-parts":[[2024,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Detection and characterization of pancreatic lesion with artificial intelligence: The SFR 2023 artificial intelligence data challenge","name":"articletitle","label":"Article Title"},{"value":"Diagnostic and Interventional Imaging","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.diii.2024.07.002","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 Soci\u00e9t\u00e9 fran\u00e7aise de radiologie. Published by Elsevier Masson SAS.","name":"copyright","label":"Copyright"}]}}