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