Endoscopic Pituitary Surgery on a High-fidelity Bench-top Phantom
The first public dataset containing both instrument and surgical skill assessment annotations in a high-fidelity bench-top phantom (www.store.upsurgeon.com/products/tnsbox/) of the nasal phase of the endoscopic TransSphenoidal Approach (eTSA). The dataset includes 15-videos ({video_number}.mp4), the corresponding mOSATS with level of surgical expertise (mOSATS.csv), and instrument segmentation annotations (annotations.csv). The companion paper with baseline results is titled: "Automated Surgical Skill Assessment in Endoscopic Pituitary Surgery using Real-time Instrument Tracking on a High-fidelity Bench-top Phantom" (Adrito Das et al, in-press). Please cite this paper if you have used this dataset.
Funding
Context Aware Augmented Reality for Endonasal Endoscopic Surgery
Engineering and Physical Sciences Research Council
Find out more...AID-PitSurg: AI-enabled Decision support in Pituitary Surgery to reduce complications
Engineering and Physical Sciences Research Council
Find out more...Department of Science, Innovation and Technology (DSIT)
Royal Academy of Engineering under the Chair in Emerging Technologies programme
UKRI Centre for Doctoral Training in AI-enabled healthcare systems
NIHR Academic Clinical Fellowship
CRUK Predoctoral Fellowship
NIHR University College London Hospitals Biomedical Research Centre
National Institute for Health Research
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