CholecTriplet2022: Show me a tool and tell me the triplet — An endoscopic vision challenge for surgical action triplet detection

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Veröffentlicht in:	Medical Image Analysis Jg. 89; S. 102888
Hauptverfasser:	Chinedu Innocent Nwoye, Tong Yu, Saurav Sharma, Aditya Murali, Deepak Alapatt, Armine Vardazaryan, Kun Yuan, Jonas Hajek, Wolfgang Reiter, Amine Yamlahi, Finn-Henri Smidt, Xiaoyang Zou, Guoyan Zheng, Bruno Oliveira, Helena R. Torres, Satoshi Kondo, Satoshi Kasai, Felix Holm, Ege Özsoy, Shuangchun Gui, Han Li, Sista Raviteja, Rachana Sathish, Pranav Poudel, Binod Bhattarai, Ziheng Wang, Guo Rui, Melanie Schellenberg, João L. Vilaça, Tobias Czempiel, Zhenkun Wang, Debdoot Sheet, Shrawan Kumar Thapa, Max Berniker, Patrick Godau, Pedro Morais, Sudarshan Regmi, Thuy Nuong Tran, Jaime Fonseca, Jan-Hinrich Nölke, Estevão Lima, Eduard Vazquez, Lena Maier-Hein, Nassir Navab, Pietro Mascagni, Barbara Seeliger, Cristians Gonzalez, Didier Mutter, Nicolas Padoy
Format:	Journal Article
Sprache:	Japanisch
Veröffentlicht:	Elsevier BV 01.10.2023
Schlagworte:	[INFO.INFO-IM]Computer Science [cs]/Medical Imaging Algorithms Artificial Intelligence Computer Science - Computer Vision and Pattern Recognition Computer Science - Machine Learning Computer Vision and Pattern Recognition (cs.CV) Electrical Engineering and Systems Science - Image and Video Processing Endoscopy FOS: Computer and information sciences FOS: Electrical engineering, electronic engineering, information engineering Humans Image and Video Processing (eess.IV) Machine Learning (cs.LG) Surgery, Computer-Assisted Surgical Instruments
ISSN:	1361-8415
Online-Zugang:	Volltext
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