162691 20251017144558.0 doi 10.1007/s11548-025-03502-1 sideral 145346 ART-2025-145346 eng Barbed, O. León Universidad de Zaragoza (orcid)0000-0001-8191-6261 Automated overview of complete endoscopies with unsupervised learned descriptors 2025 Access copy available to the general public Unrestricted Purpose We aim to automate the initial analysis of complete endoscopy videos, identifying the sparse relevant content. This facilitates long procedure recording understanding, reduces the clinicians’ review time, and facilitates downstream tasks such as video summarization, event detection, and 3D reconstruction. Methods Our approach extracts endoscopic video frame representations with a learned embedding model. These descriptors are clustered to find visual patterns in the procedure, identifying key scene types (surgery, clear visibility frames, etc.) and enabling segmentation into informative and non-informative video parts. Results Evaluation on complete colonoscopy videos presents good performance identifying surgery segments and different visibility conditions. The method produces structured overviews that separate useful segments from irrelevant ones. We illustrate its suitability and benefits as preprocessing for other downstream tasks, such as 3D reconstruction or video summarization. Conclusion Our approach enables automated endoscopy overview generation, helping the clinicians focus on the relevant video content such as good visibility sections and surgery actions. The presented work facilitates faster recording reviewing for clinicians and effective video preprocessing for downstream tasks. info:eu-repo/grantAgreement/ES/DGA/T45-23R info:eu-repo/grantAgreement/EC/H2020/863146/EU/EndoMapper: Real-time mapping from endoscopic video/EndoMapper This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 863146-EndoMapper info:eu-repo/grantAgreement/ES/MICINN/PID2021-125514NB-I00 info:eu-repo/semantics/openAccess by https://creativecommons.org/licenses/by/4.0/deed.es info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Azagra, Pablo Universidad de Zaragoza (orcid)0000-0002-3567-3294 Plo, Juan Murillo, Ana C. Universidad de Zaragoza (orcid)0000-0002-7580-9037 5007 520 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Ingen.Sistemas y Automát. 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. (2025), [8 p.] International Journal of Computer Assisted Radiology and Surgery 1861-6429 2010924 http://zaguan.unizar.es/record/162691/files/texto_completo.pdf Versión publicada 2336502 http://zaguan.unizar.es/record/162691/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:162691 articulos driver 2025-10-17-14:13:42 ARTICLE