2026-05-28T03:29:42Z https://api.figshare.com/v2/oai

oai:figshare.com:article/26531686 2024-08-20T08:38:06Z category_24553 category_28879 portal_549 item_type_3 month_year_08_2024

10.5522/04/26531686.v2 https://figshare.com/articles/dataset/PitVis_Challenge_Endoscopic_Pituitary_Surgery_videos/26531686 https://ndownloader.figshare.com/files/49001545 https://ndownloader.figshare.com/files/48617482 https://ndownloader.figshare.com/files/48628915 https://ndownloader.figshare.com/files/48598120 https://ndownloader.figshare.com/files/48617488 https://ndownloader.figshare.com/files/48598585 https://ndownloader.figshare.com/files/48598339 https://ndownloader.figshare.com/files/48597754 https://ndownloader.figshare.com/files/48598576 https://ndownloader.figshare.com/files/48598093 https://ndownloader.figshare.com/files/48598315 https://ndownloader.figshare.com/files/48598630 https://ndownloader.figshare.com/files/48598774 https://ndownloader.figshare.com/files/48628912 https://ndownloader.figshare.com/files/48598621 https://ndownloader.figshare.com/files/48598735 https://ndownloader.figshare.com/files/48598759 https://ndownloader.figshare.com/files/48598255 https://ndownloader.figshare.com/files/48628927 https://ndownloader.figshare.com/files/48628924 https://ndownloader.figshare.com/files/48628930 https://ndownloader.figshare.com/files/48617521 https://ndownloader.figshare.com/files/48597817 https://ndownloader.figshare.com/files/48617401 https://ndownloader.figshare.com/files/48617527 https://ndownloader.figshare.com/files/48598042 https://ndownloader.figshare.com/files/48659740 https://ndownloader.figshare.com/files/48659743 https://ndownloader.figshare.com/files/48659746 https://ndownloader.figshare.com/files/48659749 https://ndownloader.figshare.com/files/48659752 https://ndownloader.figshare.com/files/48659755 https://ndownloader.figshare.com/files/48659758 https://ndownloader.figshare.com/files/48659761 https://ndownloader.figshare.com/files/48659764 https://ndownloader.figshare.com/files/48659767 https://ndownloader.figshare.com/files/48659770 https://ndownloader.figshare.com/files/48659773 https://ndownloader.figshare.com/files/48659776 https://ndownloader.figshare.com/files/48659779 https://ndownloader.figshare.com/files/48659782 https://ndownloader.figshare.com/files/48659797 https://ndownloader.figshare.com/files/48659788 https://ndownloader.figshare.com/files/48659791 https://ndownloader.figshare.com/files/48659794 https://ndownloader.figshare.com/files/48659785 https://ndownloader.figshare.com/files/48659803 https://ndownloader.figshare.com/files/48659800 https://ndownloader.figshare.com/files/48659812 https://ndownloader.figshare.com/files/48659809 https://ndownloader.figshare.com/files/48659806 https://ndownloader.figshare.com/files/48659863 https://ndownloader.figshare.com/files/48659866 https://ndownloader.figshare.com/files/48659869 https://github.com/dreets/pitvis 2409.01184 10.1016/j.media.2025.103716 Das, Adrito Adrito Das Khan, Danyal Danyal Khan Hanrahan, John John Hanrahan Bano, Sophia Sophia Bano Stoyanov, Danail Danail Stoyanov Marcus, Hani Hani Marcus Surgery Computer vision pituitary surgery machine learning classification step recongition instrument recongition 2024-09-06 2025-08-26 Dataset 2024 University College London The first public dataset containing both step and instrument annotations of the endoscopic TransSphenoidal Approach (eTSA). The dataset includes 25-videos (video_{video_number}.mp4) and the corresponding step and instrument annotation (annotations_{video_number}.csv). Annotation metadata mapping the numerical value to its formal description is provided (map_steps.csv and map_instrument.csv), as well as video medadata (video_encoder_details.txt). Helpful scripts and baseline models can be found on: https://github.com/dreets/pitvis. This dataset is released as part of the PitVis Challenge, a sub-challenge of the EndoVis Challenge hosted at the annual MICCAI conference (Vancouver, Canada on 06-Oct-2024). More details about the challenge can be found on the challenge website: https://www.synapse.org/Synapse:syn51232283/wiki/621581. The companion paper with comparative models is titled: "PitVis-2023 Challenge: Workflow Recognition in videos of Endoscopic Pituitary Surgery" (Adrito Das et al.). Please cite this paper if you have used this dataset: https://doi.org/10.1016/j.media.2025.103716.

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