A benchmark of methods for surgical instrument segmentation in endoscopic pituitary surgery.

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Bibliographic Details
Title: A benchmark of methods for surgical instrument segmentation in endoscopic pituitary surgery.
Authors: Feeny K; Institute of Health Informatics, University College London, London, UK. k.feeny@ucl.ac.uk.; UCL Hawkes Institute, University College London, London, UK. k.feeny@ucl.ac.uk., Wijekoon A; Department of Computer Science, University College London, London, UK.; UCL Hawkes Institute, University College London, London, UK., Wei W; Department of Computer Science, University College London, London, UK., Khan DZ; UCL Hawkes Institute, University College London, London, UK.; Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, UK., Stoyanov D; Department of Computer Science, University College London, London, UK.; UCL Hawkes Institute, University College London, London, UK., Marcus HJ; UCL Hawkes Institute, University College London, London, UK.; Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, UK., Bano S; Department of Computer Science, University College London, London, UK.; UCL Hawkes Institute, University College London, London, UK.
Source: International journal of computer assisted radiology and surgery [Int J Comput Assist Radiol Surg] 2026 May 21. Date of Electronic Publication: 2026 May 21.
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/s11548-026-03668-2