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A knowledge-based framework for robust segmentation of high-resolution impedance manometry catheters in video-fluoroscopy images.

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Bibliographic Details
Title: A knowledge-based framework for robust segmentation of high-resolution impedance manometry catheters in video-fluoroscopy images.
Authors: da Rocha MML; Robotics and Mechatronics Group, University of Twente, Drienerlolaan 5, 7522, NB, Enschede, The Netherlands. m.m.rocha@utwente.nl.; Head and Neck Oncology, Netherlands Cancer Institute, Plesmanlaan 121, 1066, CX, Amsterdam, The Netherlands. m.m.rocha@utwente.nl., S Brandsma D; Robotics and Mechatronics Group, University of Twente, Drienerlolaan 5, 7522, NB, Enschede, The Netherlands., van der Molen L; Head and Neck Oncology, Netherlands Cancer Institute, Plesmanlaan 121, 1066, CX, Amsterdam, The Netherlands., van Alphen MJA; Head and Neck Oncology, Netherlands Cancer Institute, Plesmanlaan 121, 1066, CX, Amsterdam, The Netherlands., van den Brekel MWM; Head and Neck Oncology, Netherlands Cancer Institute, Plesmanlaan 121, 1066, CX, Amsterdam, The Netherlands., Siepel FJ; Robotics and Mechatronics Group, University of Twente, Drienerlolaan 5, 7522, NB, Enschede, The Netherlands.
Source: International journal of computer assisted radiology and surgery [Int J Comput Assist Radiol Surg] 2026 Apr 04. Date of Electronic Publication: 2026 Apr 04.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: Germany NLM ID: 101499225 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1861-6429 (Electronic) Linking ISSN: 18616410 NLM ISO Abbreviation: Int J Comput Assist Radiol Surg Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1861-6429
DOI:10.1007/s11548-026-03593-4