ARM-Net: Improved MRI brain tumor segmentation method based on attentional mechanism and residual module

INTRODUCTION: Accurate tumor segmentation is a prerequisite for reliable diagnosis and treatment of brain cancer. Gliomas, a highly prevalent and life-threatening type of brain tumor, pose a challenge for segmentation due to the intricate nature of brain structures and unpredictable appearances on b...

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Bibliographic Details

Published in:	EAI Endorsed Transactions on e-Learning Vol. 10
Main Author:	MingHu
Format:	Journal Article
Language:	English
Published:	Ghent European Alliance for Innovation (EAI) 26.07.2024
Subjects:	Artificial neural networks Attention Brain Brain cancer Coders Decoding Image segmentation Magnetic resonance imaging Modules Tumors
ISSN:	2032-9253, 2032-9253
Online Access:	Get full text
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