2026-10-12T23:31:19Z https://api.figshare.com/v2/oai

oai:figshare.com:article/26531686 2026-09-29T09:04:38Z category_24553 category_28879 portal_549 item_type_3 month_year_09_2026

PitVis-2023 Challenge: Endoscopic Pituitary Surgery videos Adrito Das (9432470) Danyal Khan (11251857) John Hanrahan (13191045) Sophia Bano (6773012) Danail Stoyanov (6778706) Hani Marcus (6766427) Surgery Computer vision pituitary surgery machine learning classification step recongition instrument recongition <p dir="ltr">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.</p> 2024-08-20T08:38:06Z Dataset Dataset 10.5522/04/26531686.v3 https://figshare.com/articles/dataset/PitVis_Challenge_Endoscopic_Pituitary_Surgery_videos/26531686 CC BY-NC-SA 4.0