Point Tracking in Surgery--The 2025 Surgical Tattoos in Infrared Challenge (STIRC2025)· 2025年手术红外点追踪挑战赛
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
介绍2025年手术红外点追踪挑战赛及其结果。
- 核心方法
- 采用手术红外点追踪数据集（STIR）评估参与者提交的点追踪算法，包括准确性和效率两个方面。
- 适合谁读
- 研究者 / 工程师
- 要解决的问题
- 手术中点追踪的准确性和效率不足，影响下游任务的性能。
- 关键实验
- 挑战赛包含对活体和离体序列的准确性测试，以及算法推断延迟的效率测试，共有七支队伍参加。
- 主要贡献
- 提出了STIRC2025挑战赛，推进了手术点追踪技术的发展。
- 意义与局限
- 促进了手术导航和自主探针扫描等应用，但仅限于特定数据集，实际手术环境复杂性可能影响结果。