Synergy Factorized Bilinear Network with a Dual Suppression Strategy for Brain Tumor Classification in MRI

Synergy Factorized Bilinear Network with a Dual Suppression Strategy for Brain Tumor Classification in MRI

Automatic brain tumor classification is a practicable means of accelerating clinical diagnosis. Recently, deep convolutional neural network (CNN) training with MRI datasets has succeeded in computer-aided diagnostic (CAD) systems. To further improve the classification performance of CNNs, there is s...

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Bibliographic Details
Main Authors: Guanghua Xiao, Huibin Wang, Jie Shen, Zhe Chen, Zhen Zhang, Xiaomin Ge
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Micromachines
Subjects:
brain tumor classification
convolutional neural networks
suppressing strategy
bilinear pooling
magnetic resonance imaging
Online Access:https://www.mdpi.com/2072-666X/13/1/15

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https://www.mdpi.com/2072-666X/13/1/15

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