# Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/comparative-validation-of-multi-instance-instrument-segmentation-in-endoscopy/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Tobias Roß,Annika Reinke,Peter M. Full,Martin Wagner,Hannes Kenngott,Martin Apitz,Hellena Hempe,Diana Mîndroc-Filimon,Patrick Godau,Thuy Nuong Tran,Pierangela Bruno,Pablo Arbeláez,Gui‐Bin Bian,Sebastian Bodenstedt,Jon Lindström Bolmgren,Laura Bravo-Sánchez,Huabin Chen,Cristina González,Dong Guo,Pål 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 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. Müller‐Stich,Lena Maier‐Hein |
| Citations | 90 |
| DOI | 10.1016/j.media.2020.101920 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://www.sciencedirect.com/science/article/pii/S136184152030284X/pdf |
| OpenAlex ID | https://openalex.org/W3108141367 |
| PMID | 33676097 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Sebastian Bodenstedt](https://scholariq.org/researchers/sebastian-bodenstedt/)
- [Tingting Jiang](https://scholariq.org/researchers/tingting-jiang/)

## Paper primary topic

- [Colorectal Cancer Screening and Detection](https://scholariq.org/topics/colorectal-cancer-screening-and-detection/)

## Paper topics

- [Colorectal Cancer Screening and Detection](https://scholariq.org/topics/colorectal-cancer-screening-and-detection/)
- [Medical Image Segmentation Techniques](https://scholariq.org/topics/medical-image-segmentation-techniques/)
- [Surgical Simulation and Training](https://scholariq.org/topics/surgical-simulation-and-training/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.