Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy

Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy

The Endoscopy Computer Vision Challenge (EndoCV) is a crowd-sourcing initiative to address eminent problems in developing reliable computer aided detection and diagnosis endoscopy systems and suggest a pathway for clinical translation of technologies. Whilst endoscopy is a widely used diagnostic and...

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Bibliographic Details
Main Authors: Ali, S, Dmitrieva, M, Ghatwary, N, Bano, S, Polat, G, Temizel, A, Krenzer, A, Hekalo, A, Guo, YB, Matuszewski, B, Gridach, M, Voiculescu, I, Yoganand, V, Chavan, A, Raj, A, Nguyen, NT, Tran, DQ, Huyanh, LD, Boutry, N, Rezvy, S, Chen, H, Choi, YH, Subramanian, A, Balasubramanian, V, Gao, XW, Hu, H, Liao, Y, Stoyanov, D, Dual, C, Realdon, S, Cannizzaro, R, Lamarque, D, Tran-Nguyen, T, Bailey, A, Braden, B, East, JE, Rittscher, J
Format: Journal article
Language:English
Published: Elsevier 2021

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