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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Detalles Bibliográficos
Autores principales: Xiao, Guanghua, Wang, Huibin, Shen, Jie, Chen, Zhe, Zhang, Zhen, Ge, Xiaomin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8780069/
https://www.ncbi.nlm.nih.gov/pubmed/35056179
http://dx.doi.org/10.3390/mi13010015

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8780069/
https://www.ncbi.nlm.nih.gov/pubmed/35056179
http://dx.doi.org/10.3390/mi13010015

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