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Document type:
Zeitschriftenaufsatz 
Author(s):
Ali, S.; Zhou, F.; Braden, B.; Bailey, A.; Yang, S.; Cheng, G.; Zhang, P.; Li, X.; Kayser, M.; Soberanis-Mukul, R.D.; Albarqouni, S.; al., et 
Title:
An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy 
Abstract:
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 promoting the development of new approaches suitable for clinical translation. Endoscopy is a routine imaging technique for the detection, diagnosis and treatment of diseases in hollow-organs; the esophagus...    »
 
Journal title:
Scientific reports 
Year:
2020 
Journal volume:
10 
Journal issue:
Pages contribution:
1--15 
Publisher:
Nature Publishing Group