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mosats.csv (0.94 kB)
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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

Wellcome Trust Centre for Surgical and Interventional Sciences

Wellcome Trust

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Context Aware Augmented Reality for Endonasal Endoscopic Surgery

Engineering and Physical Sciences Research Council

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AID-PitSurg: AI-enabled Decision support in Pituitary Surgery to reduce complications

Engineering and Physical Sciences Research Council

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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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