HEMIGEN: Human Embryo Image Generator Based on Generative Adversarial Networks

HEMIGEN: Human Embryo Image Generator Based on Generative Adversarial Networks

We propose a method for generating the synthetic images of human embryo cells that could later be used for classification, analysis, and training, thus resulting in the creation of new synthetic image datasets for research areas lacking real-world data. Our focus was not only to generate the generic...

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Bibliographic Details
Main Authors: Darius Dirvanauskas, Rytis Maskeliūnas, Vidas Raudonis, Robertas Damaševičius, Rafal Scherer
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Sensors
Subjects:
deep learning
neural network
generative adversarial network
synthetic images
Online Access:https://www.mdpi.com/1424-8220/19/16/3578

Internet

https://www.mdpi.com/1424-8220/19/16/3578

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