SDS-Net: A lightweight 3D convolutional neural network with multi-branch attention for multimodal brain tumor accurate segmentation

SDS-Net: A lightweight 3D convolutional neural network with multi-branch attention for multimodal brain tumor accurate segmentation

The accurate and fast segmentation method of tumor regions in brain Magnetic Resonance Imaging (MRI) is significant for clinical diagnosis, treatment and monitoring, given the aggressive and high mortality rate of brain tumors. However, due to the limitation of computational complexity, convolutiona...

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Bibliographic Details
Main Authors: Qian Wu, Yuyao Pei, Zihao Cheng, Xiaopeng Hu, Changqing Wang
Format: Article
Language:English
Published: AIMS Press 2023-09-01
Series:Mathematical Biosciences and Engineering
Subjects:
brain tumor
magnetic resonance imaging
volume data
lightweight
convolutional neural network
attention mechanism
depthwise separable convolution
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2023773?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2023773?viewType=HTML

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