Comparative Validation of Multi-Instance Instrument Segmentation in Endoscopy: Results of the ROBUST-MIS 2019 Challenge
Tobias Ross,Annika Reinke,Peter M. Full,Martin Wagner,Hannes Kenngott,Martin Apitz,Hellena Hempe,Diana Mindroc-Filimon,Patrick Scholz,Thuy Nuong Tran,Pierangela Bruno,Pablo Arbelaez,Gui-Bin Bian,Sebastian Bodenstedt, Jon Lindstrom Bolmgren,Laura Bravo-Sanchez,Hua-Bin Chen,Cristina Gonzalez,Dong Guo,Pal Halvorsen,Pheng-Ann Heng,Enes Hosgor,Zeng-Guang Hou,Fabian Isensee,Debesh Jha,Tingting Jiang,Yueming Jin,Kadir Kirtac,Sabrina Kletz,Stefan Leger,Zhixuan Li,Klaus H. Maier-Hein,Zhen-Liang Ni,Michael A. Riegler,Klaus Schoeffmann,Ruohua Shi,Stefanie Speidel,Michael Stenzel,Isabell Twick, Gutai Wang,Jiacheng Wang,Liansheng Wang, Lu Wang,Yujie Zhang,Yan-Jie Zhou,Lei Zhu,Manuel Wiesenfarth,Annette Kopp-Schneider,Beat P. Mueller-Stich,Lena Maier-Hein MEDICAL IMAGE ANALYSIS（2021）
Key words
Multi-instance instrument,Minimally invasive surgery,Robustness and generalization,Surgical data science
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