利用深度学习、混沌映射和哈希表增强医学图像的安全性

IF 2.3 4区计算机科学 Q2 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE

Mobile Networks & Applications Pub Date : 2023-09-22 DOI:10.1007/s11036-023-02158-y

Piyush Kumar, Mobashshirur Rahman, Suyel Namasudra, Nageswara Rao Moparthi

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Enhancing Security of Medical Images Using Deep Learning, Chaotic Map, and Hash Table

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Enhancing Security of Medical Images Using Deep Learning, Chaotic Map, and Hash Table

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来源期刊

Mobile Networks & Applications 工程技术-电信学

CiteScore

9.50

自引率

5.30%

发文量

198

审稿时长

6-12 weeks

期刊介绍： Mobile Networks and Applications'' technical scope covers mobility solutions that provide communication technologies and mobile services, which enables users to access resources and share information freely, anytime anywhere. The emerging symbiosis of wireless communication, the ever more powerful mobile devices, with the back-end resources of the cloud, making the user fully location independent. The journal addresses the convergence of mobility, computing and information organization, services and management. In approving Special Issues, the Journal places an equal emphasis on the various areas of nomadic computing, data management, related software and hardware technologies, and mobile user services, alongside more `classical'' topics in wireless and mobile networking. The journal documents practical and theoretical results which make a fundamental contribution.