TEMSET-24K: Densely Annotated Dataset for Indexing Multipart Endoscopic Videos using Surgical Timeline Segmentation

TEMSET-24K: Densely Annotated Dataset for Indexing Multipart Endoscopic Videos using Surgical Timeline Segmentation

Abstract Indexing endoscopic surgical videos is vital in surgical data science, forming the basis for systematic retrospective analysis and clinical performance evaluation. Despite its significance, current video analytics rely on manual indexing, a time-consuming process. Advances in computer visio...

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Main Authors: Muhammad Bilal, Mahmood Alam, Deepashree Bapu, Stephan Korsgen, Neeraj Lal, Simon Bach, Amir M. Hajiyavand, Muhammed Ali, Kamran Soomro, Iqbal Qasim, Paweł Capik, Aslam Khan, Zaheer Khan, Hunaid Vohra, Massimo Caputo, Andrew D. Beggs, Adnan Qayyum, Junaid Qadir, Shazad Q. Ashraf
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Data
Online Access:https://doi.org/10.1038/s41597-025-05646-w
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https://doi.org/10.1038/s41597-025-05646-w

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