SEU2-Net: multi-scale U2-Net with SE attention mechanism for liver occupying lesion CT image segmentation

SEU2-Net: multi-scale U2-Net with SE attention mechanism for liver occupying lesion CT image segmentation

Liver occupying lesions can profoundly impact an individual’s health and well-being. To assist physicians in the diagnosis and treatment of abnormal areas in the liver, we propose a novel network named SEU2-Net by introducing the channel attention mechanism into U2-Net for accurate and automatic liv...

Full description

Bibliographic Details
Main Authors: Lizhuang Liu, Kun Wu, Ke Wang, Zhenqi Han, Jianxing Qiu, Qiao Zhan, Tian Wu, Jinghang Xu, Zheng Zeng
Format: Article
Language:English
Published: PeerJ Inc. 2024-01-01
Series:PeerJ Computer Science
Subjects:
Deep learning
Liver occupying lesion segmentation
CT
SE attention
U2-Net
Online Access:https://peerj.com/articles/cs-1751.pdf

Internet

https://peerj.com/articles/cs-1751.pdf

Similar Items