A Comprehensive Study on Colorectal Polyp Segmentation With ResUNet++, Conditional Random Field and Test-Time Augmentation - Jha, Debesh; Smedsrud, Pia H.; Johansen, Dag; de Lange, Thomas; Johansen, Havard D.; Halvorsen, Pal; Riegler, Michael A. (IEEE journal of biomedical and health informatics, 2021)
Keywords: Abnormalities; Algorithms; Augmentation; Basale medisinske, odontologiske og veterinærmedisinske fag: 710; Basic medical, dental and veterinary science disciplines: 710; Cancer; Colon; Colonoscopy; Colorectal cancer; Colorectal carcinoma; Computer and Information Sciences; Computer architecture; conditional random field; Conditional random fields; Data- och informationsvetenskap (Datateknik); Datasets; Gastroenterologi och hepatologi; Gastroenterology and Hepatology; generalization; Hospitals; Image segmentation; Learning algorithms; Machine learning; Medical disciplines: 700; Medisinske Fag: 700; Performance enhancement; Physicians; polyp segmentation; Polyps; ResUNet; Segmentation; Task analysis; test-time augmentation; Testing time; Training; VDP