PitVis-2023 Workflow Recognition Dataset

The dataset contains both surgical step and surgical instruments annotations for 25-videos of endoscopic pituitary surgery.

Overview

The first public dataset containing both step and instrument annotations of the endoscopic TransSphenoidal Approach (eTSA). The dataset includes 25-videos and the corresponding step and instrument annotation. Helpful scripts and baseline models can be found on: https://github.com/dreets/pitvis. This dataset is released as part of the PitVis-2023 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.

Downloading the Dataset

If you wish to download this dataset, please visit here.

License

PitVis-2023 Workflow Recongition Dataset is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).

Citing the Dataset

Please cite the following paper if you have used this dataset.

Adrito Das, Danyal Z. Khan, Dimitrios Psychogyios, Yitong Zhang, John G. Hanrahan, Francisco Vasconcelos, Sophia Bano, Hani J. Marcus, and Danail Stoyanov "PitVis-2023 Challenge: Workflow Recognition in videos of Endoscopic Pituitary" arXiv preprint [arXiv:2409.01184] 

Contact

For any questions regarding this dataset please contact Adrito Das.