Polyp Segmentation With the FCB-SwinV2 Transformer

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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Bibliographic Details
Main Authors: Kerr Fitzgerald, Jorge Bernal, Aymeric Histace, Bogdan J. Matuszewski
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Medical image processing
polyp segmentation
deep learning
SwinV2
transformer
Online Access:https://ieeexplore.ieee.org/document/10466532/

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