EOSA-GAN: Feature enriched latent space optimized adversarial networks for synthesization of histopathology images using Ebola optimization search algorithm

Olaide Nathaniel Oyelade, Absalom E. Ezugwu

Abstract: Highlights•Design of a novel feature mapping function from data space to Gaussian noise-generated samples.•Implementation of EOSA-GAN optimization method for GAN architecture.•Evaluation of the performance of EOSA-GAN on several GAN-based metrics.