MIRAU-Net: An improved neural network based on U-Net for gliomas segmentation

Gliomas are the largest prevalent and destructive of brain tumors and have crucial parts for the diagnosing and treating of MRI brain tumors during segmentation using computerized methods. Recently, U-Net architecture has achieved impressive brain tumor segmentation, but this role remains challengin...

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Vydané v:	Signal processing. Image communication Ročník 101; s. 116553
Hlavní autori:	AboElenein, Nagwa M., Piao, Songhao, Noor, Alam, Ahmed, Pir Noman
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Amsterdam Elsevier B.V 01.02.2022 Elsevier BV
Predmet:	Attention Gate Brain Brain cancer Brain tumor segmentation Coders Full convolutional network Image segmentation Inception Neural networks Performance evaluation Residual Module Tumors U-Net Brain tumor segmentation Inception Residual Module Full convolutional network U-Net Attention Gate
ISSN:	0923-5965, 1879-2677
On-line prístup:	Získať plný text
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