A multi-centre polyp detection and segmentation dataset for generalisability assessment

Polyps in the colon are widely known cancer precursors identified by colonoscopy. Whilst most polyps are benign, the polyp’s number, size and surface structure are linked to the risk of colon cancer. Several methods have been developed to automate polyp detection and segmentation. However, the main...

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Vydané v:	Scientific data Ročník 10; číslo 1; s. 75 - 17
Hlavní autori:	Ali, Sharib, Jha, Debesh, Ghatwary, Noha, Realdon, Stefano, Cannizzaro, Renato, Salem, Osama E., Lamarque, Dominique, Daul, Christian, Riegler, Michael A., Anonsen, Kim V., Petlund, Andreas, Halvorsen, Pål, Rittscher, Jens, de Lange, Thomas, East, James E.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Nature Publishing Group UK 06.02.2023 Nature Publishing Group Nature Portfolio
Predmet:	639/705/117 692/699/1503/1504/1885/1393 Colon cancer Colonic Neoplasms Colonic Polyps Colonic Polyps - diagnosis Colonoscopy Colonoscopy - methods Colorectal cancer Computer applications Computer graphics and computer vision Computer Science Computer Sciences Data Descriptor Datasets Datavetenskap (datalogi) Datorgrafik och datorseende diagnosis Gastroenterologi och hepatologi Gastroenterology Gastroenterology and Hepatology Human health and pathology Humanities and Social Sciences Humans Hépatology and Gastroenterology Image Processing Life Sciences Medical Imaging methods multidisciplinary Polyps Quality assurance Science Science (multidisciplinary) Segmentation
ISSN:	2052-4463, 2052-4463
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