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Artificial intelligence-based models to assess the risk of ..:
Balduzzi, Alberto
;
Janssen, Boris V
;
De Pastena, Matteo
...
British Journal of Surgery. 110 (2023) 12 - p. 1623-1627 , 2023
Link:
https://doi.org/10.1093/bjs/znad201
RT Journal T1
Artificial intelligence-based models to assess the risk of malignancy on radiological imaging in patients with intraductal papillary mucinous neoplasm of the pancreas: scoping review
UL https://suche.suub.uni-bremen.de/peid=cr-10.1093_bjs_znad201&Exemplar=1&LAN=DE A1 Balduzzi, Alberto A1 Janssen, Boris V A1 De Pastena, Matteo A1 Pollini, Tommaso A1 Marchegiani, Giovanni A1 Marquering, Henk A1 Stoker, Jaap A1 Verpalen, Inez A1 Bassi, Claudio A1 Besselink, Marc G A1 Salvia, Roberto A1 for the Pancreatobiliary and Hepatic Artificial Intelligence Research (PHAIR) consortium PB Oxford University Press (OUP) YR 2023 SN 0007-1323 SN 1365-2168 JF British Journal of Surgery VO 110 IS 12 SP 1623 OP 1627 LK http://dx.doi.org/https://doi.org/10.1093/bjs/znad201 DO https://doi.org/10.1093/bjs/znad201 SF ELIB - SuUB Bremen
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