The potential of machine learning to predict postoperative pancreatic fistula based on preoperative, non-contrast-enhanced CT: A proof-of-principle study
Titel:
The potential of machine learning to predict postoperative pancreatic fistula based on preoperative, non-contrast-enhanced CT: A proof-of-principle study
Auteur:
Kambakamba, Patryk Mannil, Manoj Herrera, Paola E. Müller, Philip C. Kuemmerli, Christoph Linecker, Michael von Spiczak, Jochen Hüllner, Martin W. Raptis, Dimitri A. Petrowsky, Henrik Clavien, Pierre-Alain Alkadhi, Hatem