Intuitive Surgical SurgToolLoc Challenge Results: 2022-2023

• DOI: 10.48550/arxiv.2305.07152
• Publication Date: 2023-01-01
• Authors: Zia, Aneeq; Berniker, Max; Nespolo, Rogerio ...; Perreault, Conor; Bhattacharyya, Kiran; Liu, Xi; Wang, Ziheng; Kondo, Satoshi; Kasai, Satoshi; Hirasawa, Kousuke; Liu, Bo; Austin, David; Wang, Yiheng; Futrega, Michal; Puget, Jean-Francois; Li, Zhenqiang; Sato, Yoichi; Fujii, Ryo; Hachiuma, Ryo; Masuda, Mana; Saito, Hideo; Wang, An; Xu, Mengya; Islam, Mobarakol; Bai, Long; Pang, Winnie; Ren, Hongliang; Nwoye, Chinedu; Sestini, Luca; Padoy, Nicolas; Nielsen, Maximilian; Schüttler, Samuel; Sentker, Thilo; Husseini, Hümeyra; Baltruschat, Ivo; Schmitz, Rüdiger; Werner, René; Matsun, Aleksandr; Farooq, Mugariya; Saaed, Numan; Viera, Jose Renat...; Yaqub, Mohammad; Getty, Neil; Xia, Fangfang; Zhao, Zixuan; Duan, Xiaotian; Yao, Xing; Lou, Ange; Yang, Hao; Han, Jintong; Noble, Jack; Wu, Jie Ying; Alshirbaji, Tamer...; Jalal, Nour Aldeen; Arabian, Herag; Ding, Ning; Moeller, Knut; Chen, Weiliang; He, Quan; Bilal, Muhammad; Akinosho, Taofeek; Qayyum, Adnan; Caputo, Massimo; Vohra, Hunaid; Loizou, Michael; Ajayi, Anuoluwapo; Berrou, Ilhem; Niyi-Odumosu, Faa...; Budd, Charlie; Alabi, Oluwatosin; Vercauteren, Tom; Zhao, Ruoxi; Acar, Ayberk; Han, John; Atoum, Jumanh; Qin, Yinhong; Wu, Jie Ying; Hua, Surong; Ping, Lu; Wu, Wenming; Wei, Rongfeng; Wu, Jinlin; Pang, You; Chen, Zhen; Jaspers, Tim; Yamlahi, Amine; Kalinowski, Piotr; Michael, Dominik; dsch, Tim Rä; Hübner, Marco; Stoyanov, Danail; Speidel, Stefanie; Maier-Hein, Lena; Jarc, Anthony
• Keywords: FOS: Computer and information sciences; Computer Vision and Pattern Recognition (cs.CV); Computer Science - Computer Vision and Pattern Recognition

Robotic assisted (RA) surgery promises to transform surgical intervention. Intuitive Surgical is committed to fostering these changes and the machine learning models and algorithms that will enable them. With these goals in mind we have invited the surgical data science community to participate in a yearly competition hosted through the Medical Imaging Computing and Computer Assisted Interventions (MICCAI) conference. With varying changes from year to year, we have challenged the community to solve difficult machine learning problems in the context of advanced RA applications. Here we document the results of these challenges, focusing on surgical tool localization (SurgToolLoc). The publicly released dataset that accompanies these challenges is detailed in a separate paper arXiv:2501.09209 [1].