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An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy
We present a comprehensive analysis of the submissions to the first edition of the Endoscopy Artefact Detection challenge (EAD). Using crowd-sourcing, this initiative is a step towards understanding the limitations of existing state-of-the-art computer vision methods applied to endoscopy and promoti...
Autores principales: | Ali, Sharib, Zhou, Felix, Braden, Barbara, Bailey, Adam, Yang, Suhui, Cheng, Guanju, Zhang, Pengyi, Li, Xiaoqiong, Kayser, Maxime, Soberanis-Mukul, Roger D., Albarqouni, Shadi, Wang, Xiaokang, Wang, Chunqing, Watanabe, Seiryo, Oksuz, Ilkay, Ning, Qingtian, Yang, Shufan, Khan, Mohammad Azam, Gao, Xiaohong W., Realdon, Stefano, Loshchenov, Maxim, Schnabel, Julia A., East, James E., Wagnieres, Georges, Loschenov, Victor B., Grisan, Enrico, Daul, Christian, Blondel, Walter, Rittscher, Jens |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7026422/ https://www.ncbi.nlm.nih.gov/pubmed/32066744 http://dx.doi.org/10.1038/s41598-020-59413-5 |
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