EgoSurgery: A Dataset for Surgical Video Understanding from Egocentric Open Surgery Videos

News and Announcements

• [2024-05] Our paper EgoSurgery-Phase is accepted to MICCAI 2024! (early acceptance within the top 11%)

💡 Overview

We introduce EgoSurgery, an egocentric surgical video dataset and benchmark. Our goal is to provide training and benchmarking data for research in egocentric surgical video understanding.

📚 Dataset

EgoSurgery-Phase (MICCAI 2024) [ArXiv]

EgoSurgery-Phase is the first real open surgery video dataset for surgical phase recognition.

EgoSurgery-Tool [ArXiv]

EgoSurgery-Tool provides surgical tool and hand bounding box annotations.

Download

Please kindly fill out the google form if you wish to gain access to the dataset. We will send you a download link.

License

EgoSurgery dataset is is publicly released under the Creative Commons license CC BY-NC-SA 4.0 LICENSE. The dataset will be used solely for academic research and not for commercial purposes.

Commitment to Protecting Personal Information in Dataset Usage

Users of the dataset must agree that they will not, and will not attempt to, use the dataset or any materials or works derived from it to determine or infer personal information about any individual (e.g., identifying individuals depicted in the dataset).

Reference

If you are interested in our work and want to cite it, please acknowledge the following paper:

@InProceedings{fujii2024egosurgeryphase,
  title        = {EgoSurgery-Phase: A Dataset of Surgical Phase Recognition from Egocentric Open Surgery Videos},
  author       = {Ryo Fujii and Masashi Hatano and Hideo Saito and Hiroki Kajita},
  year         = {2024},
  booktitle    = {MICCAI},
}

@article{fujii2024egosurgerytool,
  title        = {EgoSurgery-Tool: A Dataset of Surgical Tool and Hand Detection from Egocentric Open Surgery Videos},
  author       = {Fujii, Ryo and Saito, Hideo and Kajita, Hiroki},
  journal      = {arXiv preprint arXiv:2406.03095},
  year         = {2024},
}

@article{fujii2022surgicaltool,
  title        = {Surgical Tool Detection in Open Surgery Videos},
  author       = {Fujii, Ryo and Hachiuma, Ryo and Kajita, Hiroki and Saito, Hideo},
  journal      = {Applied Sciences},
  year         = {2022},
}