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...

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Bibliographic Details
Main Authors:	Ali, S, Zhou, F, Braden, B, Bailey, A, Yang, S, Cheng, G, Zhang, P, Li, X, Kayser, M, Soberanis-Mukul, RD, Albarqouni, S, Wang, X, Wang, C, Watanabe, S, Oksuz, I, Ning, Q, Khan, MA, Gao, XW, Realdon, S, Loshchenov, M, Schnabel, JA, East, JE, Wagnieres, G, Loschenov, VB, Grisan, E, Daul, C, Blondel, W, Rittscher, J
Format:	Journal article
Language:	English
Published:	Springer Nature 2020

An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy

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