Brain tumor classification using a combination of variational autoencoders and generative adversarial networks

HIGHLIGHTS

• who: Bilal Ahmad and collaborators from the School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China have published the Article: Brain Tumor Classification Using a Combination of Variational Autoencoders and Generative Adversarial Networks, in the Journal: Biomedicines 2022, 10, 223. of /2022/
• what: To ensure that the proposed network, ED‑GAN, generates the images from a specific category, the authors provide additional information, the category label to the generator 𝐺 and ‶ is the category discriminator 𝒟. The authors used the public dataset proposed by Cheng . The authors proposed the combination of two different generative models . . .
  

   

  

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