ColonFormer: An Efficient Transformer Based Method for Colon Polyp Segmentation

ColonFormer: An Efficient Transformer Based Method for Colon Polyp Segmentation

Identifying polyps is challenging for automatic analysis of endoscopic images in computer-aided clinical support systems. Models based on convolutional networks (CNN), transformers, and their combinations have been proposed to segment polyps with promising results. However, those approaches have lim...

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Bibliographic Details
Main Authors: Nguyen Thanh Duc, Nguyen Thi Oanh, Nguyen Thi Thuy, Tran Minh Triet, Viet Sang Dinh
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Polyp segmentation
deep learning
encoder-decoder network
hierarchical multi-scale CNN
computer-aided diagnosis
Online Access:https://ieeexplore.ieee.org/document/9845389/

Internet

https://ieeexplore.ieee.org/document/9845389/

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