Deep Convolutional Neural Network With a Multi-Scale Attention Feature Fusion Module for Segmentation of Multimodal Brain Tumor

Deep Convolutional Neural Network With a Multi-Scale Attention Feature Fusion Module for Segmentation of Multimodal Brain Tumor

As a non-invasive, low-cost medical imaging technology, magnetic resonance imaging (MRI) has become an important tool for brain tumor diagnosis. Many scholars have carried out some related researches on MRI brain tumor segmentation based on deep convolutional neural networks, and have achieved good...

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Bibliographic Details
Main Authors: Xueqin He, Wenjie Xu, Jane Yang, Jianyao Mao, Sifang Chen, Zhanxiang Wang
Format: article
Language:EN
Published: Frontiers Media S.A. 2021
Subjects:
magnetic resonance imaging (MRI)
semantic segmentation
convolutional neural network
residual network
attention mechanism
brain tumor
Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
Online Access:https://doaj.org/article/8d2e0e3645d74b22ae74c975c9cedc4b
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https://doaj.org/article/8d2e0e3645d74b22ae74c975c9cedc4b

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