GAN-based Method for Synthesizing Multi-Focus Cell Images

Ken’ich Morooka, Xueru Zhang, Shoko Miyauchi, Ryo Kurazume, Eiji Ohno

Keywords: Multi-focus pathological images, GAN, Image synthesis

TL;DR: This paper presents a method for synthesizing multi-focus cell images by using generative adversarial networks (GANs).

Abstract: This paper presents a method for synthesizing multi-focus cell images by using generative adversarial networks (GANs). The proposed method, called multi-focus image GAN (MI-GAN), consists of two generators. A base image generator synthesizes a 2D base cell image from random noise. Using the generated base image, a multi-focus cell image generator produces 11 realistic multi-focus images of the cell while considering the relationships between the images acquired at successive focus points.