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CholecTriplet2021: A Benchmark Challenge for Surgical Action Triplet Recognition

Chinedu Innocent Nwoye,Deepak Alapatt,Tong Yu,Armine Vardazaryan,Fangfang Xia,Zixuan Zhao,Tong Xia,Fucang Jia,Yuxuan Yang,Hao Wang,Derong Yu,Guoyan Zheng,Xiaotian Duan,Neil Getty,Ricardo Sanchez-Matilla,Maria Robu,Li Zhang,Huabin Chen,Jiacheng Wang,Liansheng Wang,Bokai Zhang,Beerend Gerats,Sista Raviteja,Rachana Sathish,Rong Tao,Satoshi Kondo,Winnie Pang,Hongliang Ren,Julian Ronald Abbing,Mohammad Hasan Sarhan,Sebastian Bodenstedt,Nithya Bhasker,Bruno Oliveira,Helena R. Torres,Li Ling,Finn Gaida,Tobias Czempiel,Joao L. Vilaca,Pedro Morais,Jaime Fonseca,Ruby Mae Egging,Inge Nicole Wijma,Chen Qian,Guibin Bian, Zhen Li,Velmurugan Balasubramanian,Debdoot Sheet,Imanol Luengo,Yuanbo Zhu,Shuai Ding,Jakob-Anton Aschenbrenner,Nicolas Elini van der Kar,Mengya Xu,Mobarakol Islam,Lalithkumar Seenivasan,Alexander Jenke,Danail Stoyanov,Didier Mutter,Pietro Mascagni,Barbara Seeliger,Cristians Gonzalez,Nicolas Padoy

MEDICAL IMAGE ANALYSIS（2023）

Cited 29|Views75
Key words
Surgical activity recognition,Tool-tissue interaction,CholecT50,Laparoscopic video,Action recognition
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