Assessing the value of deep neural networks for postoperative complication prediction in pancreaticoduodenectomy patients
DNNs deployed using a transfer learning approach may be of value for PoC risk prediction in the PD setting.
Authors
- Martin Sillesen (ORCID: https://orcid.org/0000-0001-9494-5475)
- Mikkel Bonde
- Haytham M.A. Kaafarani (ORCID: https://orcid.org/0000-0002-4682-9135)
- Alexander Bonde (ORCID: https://orcid.org/0000-0001-5030-3956)
- Andreas Skov Millarch
Institutions
- University of Copenhagen (DK)
- Harvard University (US)
- Copenhagen University Hospital (DK)
- Rigshospitalet (DK)
- Massachusetts General Hospital (US)
Publication Details
- Journal
- PLoS ONE
- Published
- 2024-12-30
- DOI
- https://doi.org/10.1371/journal.pone.0316402
- Citations
- 2
- Primary Topic
- Pancreatic and Hepatic Oncology Research
- Type
- article
- Field-Weighted Citation Impact
- 0.57
Funders
- Novo Nordisk Fonden