Polyp Segmentation With the FCB-SwinV2 Transformer

Polyp segmentation within colonoscopy video frames using deep learning models has the potential to automate colonoscopy screening procedures. This could help improve the early lesion detection rate and in vivo characterization of polyps which could develop into colorectal cancer. Recent state-of-the...

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Bibliografiske detaljer

Principais autores:	Kerr Fitzgerald, Jorge Bernal, Aymeric Histace, Bogdan J. Matuszewski
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2024-01-01
Serier:	IEEE Access
Fag:	Medical image processing polyp segmentation deep learning SwinV2 transformer
Online adgang:	https://ieeexplore.ieee.org/document/10466532/
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