Open AccessGenerating Realistic Blood-Cell Images using Cycle-Consistent Generative Adversial Networks
Author(s) -
M. V. Nageswara Rao*
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.l2948.1081219
Subject(s) - generative grammar , generative model , computer science , segmentation , artificial intelligence , artificial neural network , pattern recognition (psychology)
generative adversial networks are a neural-network based generative models , predominantly used for generating data-samples close to the data distribution they have been trained on .A model for generating realistic blood cell images based on cycle-consistent generative adversial networks is developed along with their corresponding segmentation masks