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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Vydané v:	EAI Endorsed Transactions on e-Learning Ročník 10
Hlavný autor:	MingHu
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Ghent European Alliance for Innovation (EAI) 26.07.2024
Predmet:	Artificial neural networks Attention Brain Brain cancer Coders Decoding Image segmentation Magnetic resonance imaging Modules Tumors
ISSN:	2032-9253, 2032-9253
On-line prístup:	Získať plný text
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