The OPARA service was recently upgraded to a new technical platform. You are visiting the outdated OPARA website. Please use https://opara.zih.tu-dresden.de/ for new data submissions. Previously stored data will be migrated in near future and then the old version of OPARA will finally be shut down. Existing DOIs for data publications remain valid.
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Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark
(Technische Universität Dresden, 2023)
The data consists of endoscopic videos from general surgery operating rooms. The data was obtained during laparoscopic surgeries at the University Hospital of Heidelberg and its affiliate hospitals, forming a joint center ...