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Artificial Intelligence-based Segmentation of Residual Panc..:
Janssen, Boris V.
;
Oteman, Bart
;
Ali, Mahsoem
...
American Journal of Surgical Pathology. 48 (2024) 9 - p. 1108-1116 , 2024
Link:
https://doi.org/10.1097/pas.0000000000002270
RT Journal T1
Artificial Intelligence-based Segmentation of Residual Pancreatic Cancer in Resection Specimens Following Neoadjuvant Treatment (ISGPP-2): International Improvement and Validation Study
UL https://suche.suub.uni-bremen.de/peid=cr-10.1097_pas.0000000000002270&Exemplar=1&LAN=DE A1 Janssen, Boris V. A1 Oteman, Bart A1 Ali, Mahsoem A1 Valkema, Pieter A. A1 Adsay, Volkan A1 Basturk, Olca A1 Chatterjee, Deyali A1 Chou, Angela A1 Crobach, Stijn A1 Doukas, Michael A1 Drillenburg, Paul A1 Esposito, Irene A1 Gill, Anthony J. A1 Hong, Seung-Mo A1 Jansen, Casper A1 Kliffen, Mike A1 Mittal, Anubhav A1 Samra, Jas A1 van Velthuysen, Marie-Louise F. A1 Yavas, Aslihan A1 Kazemier, Geert A1 Verheij, Joanne A1 Steyerberg, Ewout A1 Besselink, Marc G. A1 Wang, Huamin A1 Verbeke, Caroline A1 Fariña, Arantza A1 de Boer, Onno J. A1 for the International Study Group of Pancreatic Pathologists (ISGPP) A1 the Pancreatobiliary and Hepatic Artificial Intelligence Research (PHAIR) consortium PB Ovid Technologies (Wolters Kluwer Health) YR 2024 SN 0147-5185 JF American Journal of Surgical Pathology VO 48 IS 9 SP 1108 OP 1116 LK http://dx.doi.org/https://doi.org/10.1097/pas.0000000000002270 DO https://doi.org/10.1097/pas.0000000000002270 SF ELIB - SuUB Bremen
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