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, appearance, and location makes the detection of polyps challenging. Moreover, colonoscopy surveillance and removal of polyps are highly operator-dependent procedures and occur in a highly complex o...

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Detalles Bibliográficos
Autores principales:	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, Haithami, M, Ahmed, A, Riegler, MA, Daul, C, Halvorsen, P, Rittscher, J, Salem, OE, Lamarque, D, Cannizzaro, R, Realdon, S, de Lange, T, East, JE
Formato:	Journal article
Lenguaje:	English
Publicado:	Springer Nature 2024

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

Publicado 2022

Internet publication

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

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