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Call for Data

We invite the community to be part of organizing this challenge by contributing data for a specific sub-challenge in the field of endoscopic image processing and surgical vision (e.g. 3D surface reconstruction, tissue classification, feature or instrument tracking). All data used in the challenge will be made publically available and should comply with the quality guidelines described here. The provider of the sub-challenge data will coordinate a corresponding journal paper summarizing the results, contributions and the data itself.

If you are interested in contributing your data and proposing a sub-challenge, please fill out the "Call for Data" and send it to endoscopy-challenge@iar.kit.edu by March 24nd, 2017. Submitted forms will be reviewed by the challenge chairs. Notification of acceptance will be provided by April 5th, 2017.


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