GENERATION OF ARTIFICIAL CHEST RADIOGRAPHS USING GENERATIVE ADVERSARIAL NEURAL NETWORKS

GENERATION OF ARTIFICIAL CHEST RADIOGRAPHS USING GENERATIVE ADVERSARIAL NEURAL NETWORKS

This paper deals with the problem of generating artificial chest x-ray images which expected to be almost undistinguishable from real ones. Generation was performed using Generative Adversarial Nets (GAN). Similarity of resultant artificial images to the real ones was evaluated both by visual examin...

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Bibliographic Details
Main Authors: V. A. Kovalev, S. A. Kozlovski, A. A. Kalinovsk
Format: Article
Language:Russian
Published: National Academy of Sciences of Belarus, the United Institute of Informatics Problems 2018-06-01
Series:Informatika
Subjects:
neural networks
generative adversarial networks
deep learning
medical imaging
lungs x-ray images
Online Access:https://inf.grid.by/jour/article/view/351
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