AResU-Net: Attention Residual U-Net for Brain Tumor Segmentation

AResU-Net: Attention Residual U-Net for Brain Tumor Segmentation

Automatic segmentation of brain tumors from magnetic resonance imaging (MRI) is a challenging task due to the uneven, irregular and unstructured size and shape of tumors. Recently, brain tumor segmentation methods based on the symmetric U-Net architecture have achieved favorable performance. Meanwhi...

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Bibliographic Details
Main Authors: Jianxin Zhang, Xiaogang Lv, Hengbo Zhang, Bin Liu
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Symmetry
Subjects:
brain tumor segmentation
MRI
deep learning
attention mechanism
AResU-Net
Online Access:https://www.mdpi.com/2073-8994/12/5/721

Internet

https://www.mdpi.com/2073-8994/12/5/721

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