Brain Tumor Classification Using a Combination of Variational Autoencoders and Generative Adversarial Networks

Brain Tumor Classification Using a Combination of Variational Autoencoders and Generative Adversarial Networks

Brain tumors are a pernicious cancer with one of the lowest five-year survival rates. Neurologists often use magnetic resonance imaging (MRI) to diagnose the type of brain tumor. Automated computer-assisted tools can help them speed up the diagnosis process and reduce the burden on the health care s...

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Bibliographic Details
Main Authors: Bilal Ahmad, Jun Sun, Qi You, Vasile Palade, Zhongjie Mao
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Biomedicines
Subjects:
variational autoencoder
generative adversarial networks
brain tumor classification
cancer classification
glioma
pituitary
Online Access:https://www.mdpi.com/2227-9059/10/2/223

Internet

https://www.mdpi.com/2227-9059/10/2/223

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