SurgflowNet: Leveraging unannotated video for consistent endoscopic pituitary surgery workflow recognition.
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| Title: | SurgflowNet: Leveraging unannotated video for consistent endoscopic pituitary surgery workflow recognition. |
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| Authors: | Wijekoon A; UCL Hawkes Institute, University College London, London, United Kingdom; Department of Computer Science, University College London, London, United Kingdom. Electronic address: a.wijekoon@ucl.ac.uk., Das A; UCL Hawkes Institute, University College London, London, United Kingdom., Mao Z; UCL Hawkes Institute, University College London, London, United Kingdom; Department of Computer Science, University College London, London, United Kingdom., Khan DZ; UCL Hawkes Institute, University College London, London, United Kingdom; Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, United Kingdom., Hanrahan JG; UCL Hawkes Institute, University College London, London, United Kingdom; Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, United Kingdom., Stoyanov D; UCL Hawkes Institute, University College London, London, United Kingdom; Department of Computer Science, University College London, London, United Kingdom., Marcus HJ; UCL Hawkes Institute, University College London, London, United Kingdom; Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, United Kingdom., Bano S; UCL Hawkes Institute, University College London, London, United Kingdom; Department of Computer Science, University College London, London, United Kingdom. |
| Source: | Artificial intelligence in medicine [Artif Intell Med] 2026 Feb; Vol. 172, pp. 103309. Date of Electronic Publication: 2025 Nov 26. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Elsevier Science Publishing Country of Publication: Netherlands NLM ID: 8915031 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-2860 (Electronic) Linking ISSN: 09333657 NLM ISO Abbreviation: Artif Intell Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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