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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Bibliographic Details
Published in:	Signal processing. Image communication Vol. 101; p. 116553
Main Authors:	AboElenein, Nagwa M., Piao, Songhao, Noor, Alam, Ahmed, Pir Noman
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 01.02.2022 Elsevier BV
Subjects:	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
Online Access:	Get full text
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