Hybrid attention mechanism of feature fusion for medical image segmentation

Hybrid attention mechanism of feature fusion for medical image segmentation

Abstract Traditional convolution neural networks (CNN) have achieved good performance in multi‐organ segmentation of medical images. Due to the lack of ability to model long‐range dependencies and correlations between image pixels, CNN usually ignores the information of channel dimension. To further...

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Bibliographic Details
Main Authors: Shanshan Tong, Zhentao Zuo, Zuxiang Liu, Dengdi Sun, Tiangang Zhou
Format: Article
Language:English
Published: Wiley 2024-01-01
Series:IET Image Processing
Subjects:
biomedical imaging
computer vision
image segmentation
medical image processing
Online Access:https://doi.org/10.1049/ipr2.12934

Internet

https://doi.org/10.1049/ipr2.12934

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