SEResU-Net for Multimodal Brain Tumor Segmentation

SEResU-Net for Multimodal Brain Tumor Segmentation

Glioma is the most common type of brain tumor, and it has a high mortality rate. Accurate tumor segmentation based on magnetic resonance imaging (MRI) is of great significance for the diagnosis and treatment of brain tumors. Recently, the automatic segmentation of brain tumors based on U-Net has gai...

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Bibliographic Details
Main Authors:	Chengdong Yan, Jurong Ding, Hui Zhang, Ke Tong, Bo Hua, Shaolong Shi
Format:	Article
Language:	English
Published:	IEEE 2022-01-01
Series:	IEEE Access
Subjects:	MRI brain tumor segmentation deep learning U-Net residual network squeeze-and-excitation network
Online Access:	https://ieeexplore.ieee.org/document/9917504/

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