Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge

Polyps are well-known cancer precursors identified by colonoscopy. However, variability in their size, location, and surface largely affect identification, localisation, and characterisation. Moreover, colonoscopic surveillance and removal of polyps (referred to as polypectomy ) are highly operator-...

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Detalhes bibliográficos
Principais autores:	Ali, S, Ghatwary, N, Jha, D, Isik-Polat, E, Polat, G, Yang, C, Li, W, Galdran, A, Ballester, M-ÁG, Thambawita, V, Hicks, S, Poudel, S, Lee, S-W, Jin, Z, Gan, T, Yu, C, Yan, J, Yeo, D, Lee, H, Tomar, NK, Haithmi, M, Ahmed, A, Riegler, MA, Daul, C, Halvorsen, P, Rittscher, J, Salem, OE, Lamarque, D, Cannizzaro, R, Realdon, S, Lange, TD, East, JE
Formato:	Internet publication
Idioma:	English
Publicado em:	2022

Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge

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