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Datasets Destination: s3_1 Children: Item: Title: 3.1.1 Polyp detection Destination: s3_1_1 Item: Title: 3.1.2 Polyp segmentation Destination: s3_1_2 Item: Title: 3.1.3 Polyp classification Destination: s3_1_3 Item: Title: 3.2 Metrics Destination: s3_2 Item: Title: 4 Methodologies Destination: s4 Children: Item: Title: 4.1 AI-JMU Destination: s4_1 Item: Title: 4.2 AURORA Destination: s4_2 Item: Title: 4.3 BYDLab Destination: s4_3 Item: Title: 4.4 CVC Destination: s4_4 Item: Title: 4.5 CVML Destination: s4_5 Item: Title: 4.6 HK-UST Destination: s4_6 Item: Title: 4.7 Team AB Destination: s4_7 Item: Title: 4.8 UoN Destination: s4_8 Item: Title: 4.9 UPF Destination: s4_9 Item: Title: 5 Results Destination: s5 Children: Item: Title: 5.1 Polyp detection Destination: s5_1 Item: Title: 5.2 Polyp segmentation Destination: s5_2 Item: Title: 5.3 Polyp classification Destination: s5_3 Item: Title: 6 Discussion Destination: s6 Children: Item: Title: 6.1 Polyp detection Destination: s6_1 Item: 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Matuszewski Kerr Fitzgerald Cheng Bian Junwen Pan Shijle Liu Gloria Fernández-Esparrach Aymeric Histace Jorge Bernal Tudela Y, Majó M, de la Fuente N, Galdran A, Krenzer A, Puppe F, Yamlahi A, Tran TN, Matuszewski BJ, Fitzgerald K, Bian C, Pan J, Liu S, Fernández-Esparrach G, Histace A and Bernal J (2024) A complete benchmark for polyp detection, segmentation and classification in colonoscopy images. Front. Oncol. 14:1417862. doi: 10.3389/fonc.2024.1417862 Copyright © 2024 Tudela, Majó, de la Fuente, Galdran, Krenzer, Puppe, Yamlahi, Tran, Matuszewski, Fitzgerald, Bian, Pan, Liu, Fernández-Esparrach, Histace and Bernal. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. computer-aided diagnosis medical imaging polyp classification polyp detection polyp segmentation A complete benchmark for polyp detection, segmentation and classification in colonoscopy images computer-aided diagnosis; medical imaging; polyp classification; polyp detection; polyp segmentation True https://www.frontiersin.org/legal/copyright-statement Pages: Page: Label: 1 Annotations: Annotation: Subtype: Link Rect: 221, 707, 488, 728 Annotation: Subtype: Link Rect: 221, 682, 518, 703 Annotation: Subtype: Link Rect: 221, 657, 411, 678 Annotation: Subtype: Link Rect: 221, 632, 420, 653 Annotation: Subtype: Link Rect: 49, 33, 119, 40 Annotation: Subtype: Link Rect: 500, 33, 545, 40 Annotation: Subtype: Link Rect: 49, 712, 125, 727 Annotation: Subtype: Link Rect: 60, 550, 128, 557 Annotation: Subtype: Link Rect: 49, 419, 152, 426 Annotation: Subtype: Link Rect: 49, 351, 195, 358 Annotation: Subtype: 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