MKNet-family architectures for auto-segmentation of the residual pancreas after pancreatic resection: a deep learning comparative study
This study demonstrates the effectiveness of novel MKNet-family architectures to accurately segment the residual pancreas on postoperative CT imaging over previous approaches. This advances the state-of-the-art in pancreas auto-segmentation and may be beneficial for medical application and education, acceleration of data annotation, and future research.
Authors
- Jouke Dijkstra (ORCID: https://orcid.org/0000-0002-8666-3731)
- Paul A. Akkermans
- Inez M. Verpalen (ORCID: https://orcid.org/0000-0002-3267-0637)
- Hjalmar C. van Santvoort (ORCID: https://orcid.org/0009-0007-1218-2883)
- Michael Weinmann (ORCID: https://orcid.org/0000-0003-3634-0093)
- Martijn Intven (ORCID: https://orcid.org/0000-0002-5068-5517)
- C. Yung Nio
- Bobby K. Pranger (ORCID: https://orcid.org/0000-0002-6304-7987)
- I. Quintus Molenaar
- Wouter B. Veldhuis (ORCID: https://orcid.org/0000-0002-9798-6843)
- Femke Struik
- Bas Boekestijn (ORCID: https://orcid.org/0000-0003-3682-6560)
- Willem van der Geest
- Robbert J. de Haas
- Lois A. Daamen (ORCID: https://orcid.org/0000-0001-9227-7178)
- François E.J.A. Willemssen (ORCID: https://orcid.org/0000-0002-8274-3881)
- Helena M. Verkooijen (ORCID: https://orcid.org/0000-0001-9480-1623)
- P. Andel (ORCID: https://orcid.org/0009-0006-9341-9282)
- Jakob W. Kist (ORCID: https://orcid.org/0000-0002-6122-429X)
- R. Zoetekouw
- Dennis Böhm
- Frank J. Wessels
- Joost Nederend
Institutions
- University Medical Center Groningen (NL)
- Radboud University Nijmegen (NL)
- Utrecht University (NL)
- Leiden University Medical Center (NL)
- Catharina Ziekenhuis (NL)
- Medisch Spectrum Twente (NL)
- Erasmus MC (NL)
- University Medical Center Utrecht (NL)
- St. Antonius Ziekenhuis (NL)
- Cancer Genomics Centre (NL)
- Amsterdam University Medical Centers (NL)
- Eindhoven University of Technology (NL)
- University of Amsterdam (NL)
- Rotterdam University of Applied Sciences (NL)
- Erasmus University Rotterdam (NL)
- Delft University of Technology (NL)
Publication Details
- Journal
- Abdominal Radiology
- Published
- 2025-11-27
- DOI
- https://doi.org/10.1007/s00261-025-05211-4
- Primary Topic
- Pancreatic and Hepatic Oncology Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00