Secure breast cancer imaging: A novel advanced generative model encryption approach

The proposed work presents a novel Artificial Intelligence (AI) technique, specifically a Cyclic-Generative Adversarial Network (Cyclic GAN)-based encryption framework, for securing breast cancer medical images, leveraging AI's ability to learn from unpaired datasets. Unlike traditional chaotic...

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Vydáno v:	Engineering applications of artificial intelligence Ročník 163; s. 112747
Hlavní autoři:	Inam, Saba, Kanwal, Shamsa, Hajjej, Fahima, Saleh Alluhaidan, Ala
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.01.2026
Témata:	Artificial intelligence Cycle generative adversarial network Deep learning Discriminator Generator Image reconstruction Deep learning Cycle generative adversarial network Artificial intelligence Image reconstruction Discriminator Generator
ISSN:	0952-1976
On-line přístup:	Získat plný text
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