Centerline-guided reinforcement learning model for pancreatic duct identifications
We present an algorithm for automated pancreatic duct centerline tracing using deep reinforcement learning. We observe that validation on an external dataset confirms the potential for practical utilization of the presented method.
Authors
- Reza Karimzadeh
- Michael Brun Andersen (ORCID: https://orcid.org/0000-0003-4886-5620)
- Bulat Ibragimov (ORCID: https://orcid.org/0000-0001-7739-7788)
- Henrik S. Thomsen (ORCID: https://orcid.org/0000-0002-2409-9725)
- Tomaž Vrtovec (ORCID: https://orcid.org/0000-0002-6625-0307)
- Anders Rodell (ORCID: https://orcid.org/0000-0002-5698-1683)
- Christoph Müller (ORCID: https://orcid.org/0009-0003-2459-5758)
- Erik Gudmann Steuble Brandt
- Sepideh Amiri
Institutions
- University of Copenhagen (DK)
- University of Ljubljana (SI)
- Gentofte Hospital (DK)
- Siemens (Denmark) (DK)
Publication Details
- Journal
- Journal of Medical Imaging
- Published
- 2024-11-08
- DOI
- https://doi.org/10.1117/1.jmi.11.6.064002
- Citations
- 1
- Primary Topic
- Advanced Adaptive Filtering Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.37
Funders
- Novo Nordisk