Point Tracking in Surgery--The 2025 Surgical Tattoos in Infrared Challenge (STIRC2025)

• URL: http://arxiv.org/abs/2607.12939v1
• Date: Tue, 14 Jul 2026 16:10:49 GMT
• Title: Point Tracking in Surgery--The 2025 Surgical Tattoos in Infrared Challenge (STIRC2025)
• Abstract summary: Point tracking in surgery is crucial to enable applications in downstream tasks such as segmentation, 3D reconstruction, virtual tissue landmarking, autonomous probe-based scanning, and subtask autonomy.<n>This paper introduces the 2025 iteration of a point tracking challenge, wherein participants submit their algorithms for quantification.<n>Their algorithms are evaluated using a dataset named surgical tattoos in infrared (STIR), with the challenge named the STIR Challenge 2025 (STIRC2025).
• Score: 89.2980657193868
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Point tracking in surgery is crucial to enable applications in downstream tasks such as segmentation, 3D reconstruction, virtual tissue landmarking, autonomous probe-based scanning, and subtask autonomy. This paper introduces the 2025 iteration of a point tracking challenge to address this, wherein participants submit their algorithms for quantification. Their algorithms are evaluated using a dataset named surgical tattoos in infrared (STIR), with the challenge named the STIR Challenge 2025 (STIRC2025). The STIR Challenge 2025 comprises two quantitative components: accuracy and efficiency. The accuracy component tests the accuracy of algorithms on in vivo and ex vivo sequences. The efficiency component tests algorithm inference latency. The challenge was conducted as a part of MICCAI EndoVis 2025, and seven teams participated in this challenge. In this paper we summarize the challenge results and participant methods. The challenge dataset is available at: https://zenodo.org/records/20191078, and the code for baseline models and metrics calculation is available here: https://github.com/athaddius/STIRMetrics

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