WG2AN: Synthetic wound image generation using generative adversarial network

Abstract In part due to its ability to mimic any data distribution, Generative Adversarial Network (GAN) algorithms have been successfully applied to many applications, such as data augmentation, text‐to‐image translation, image‐to‐image translation, and image inpainting. Learning from data without...

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Bibliographic Details
Main Authors: Salih Sarp, Murat Kuzlu, Emmanuel Wilson, Ozgur Guler
Format: Article
Language:English
Published: Wiley 2021-05-01
Series:The Journal of Engineering
Online Access:https://doi.org/10.1049/tje2.12033