Open AccessData Balancing using Deep Convolutional Generative Adversarial Networks (DCGAN) in Patients with Congenital Syndrome by Zika Virus
Author(s) -
Érika G. de Assis,
Mark Song,
Luis Enrique Zárate,
Cristiane Neri Nobre
Publication year - 2022
Publication title -
proceedings of the 15th international joint conference on biomedical engineering systems and technologies
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5220/0010842900003123
Subject(s) - zika virus , generative adversarial network , adversarial system , computer science , deep learning , generative grammar , convolutional neural network , artificial intelligence , virology , medicine , virus