A complete benchmark for polyp detection, segmentation and classification in colonoscopy images

IntroductionColorectal cancer (CRC) is one of the main causes of deaths worldwide. Early detection and diagnosis of its precursor lesion, the polyp, is key to reduce its mortality and to improve procedure efficiency. During the last two decades, several computational methods have been proposed to as...

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Bibliographic Details
Main Authors:	Yael Tudela, Mireia Majó, Neil de la Fuente, Adrian Galdran, Adrian Krenzer, Frank Puppe, Amine Yamlahi, Thuy Nuong Tran, Bogdan J. Matuszewski, Kerr Fitzgerald, Cheng Bian, Junwen Pan, Shijle Liu, Gloria Fernández-Esparrach, Aymeric Histace, Jorge Bernal
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2024-09-01
Series:	Frontiers in Oncology
Subjects:	computer-aided diagnosis medical imaging polyp classification polyp detection polyp segmentation
Online Access:	https://www.frontiersin.org/articles/10.3389/fonc.2024.1417862/full
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A complete benchmark for polyp detection, segmentation and classification in colonoscopy images

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