[visionlist] [Meetings] SurgT: Surgical Tracking challenge at MICCAI 2022

Giannarou, Stamatia stamatia.giannarou at imperial.ac.uk
Fri Mar 18 07:10:37 -04 2022


SurgT:  Surgical Tracking challenge
Endoscopic Vision Sub-Challenge 2022
2022 Medical Image Computing and Computer Assisted Intervention (MICCAI)

Visual tracking is a crucial task in Computer-Assisted Interventions (CAI), with a range of applications including soft tissue deformation estimation, lesion tracking, augmented reality and robotic visual servoing. Currently, there is a dire need for a large publicly available dataset for benchmarking tissue trackers in surgery, for fueling development in this area and improving surgery. To address this, we propose the SurgT challenge, a new first-of-a-kind collection of tools and datasets for training and benchmarking tissue trackers in surgery.
The SurgT challenge has been created for the purpose of exploring tracking methods for surgical scenes, where there is limited annotated data available. The participants of this challenge are expected to develop tracking methods, which can learn to perform accurate keypoint tracking on surgical tissue, without the use of human-annotated endoscopic videos. This challenge encourages the development of self-supervised tracking methods, and also generalised tracking methods which have been trained on annotated non-surgical scenes. Traditional computer vision methods are also welcomed.
You are invited to join the challenge and submit your results by 1st September 2022. The results and prize winners will be announced during the MICCAI 2022 conference. Fully remote submissions are also welcome. Find out more at:
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