Novel Privacy Preserving Non-Invasive Sensing-Based Diagnoses of Pneumonia Disease Leveraging Deep Network Model

Novel Privacy Preserving Non-Invasive Sensing-Based Diagnoses of Pneumonia Disease Leveraging Deep Network Model

This article presents non-invasive sensing-based diagnoses of pneumonia disease, exploiting a deep learning model to make the technique non-invasive coupled with security preservation. Sensing and securing healthcare and medical images such as X-rays that can be used to diagnose viral diseases such...

Ausführliche Beschreibung

Bibliographische Detailangaben
Hauptverfasser: Mujeeb Ur Rehman, Arslan Shafique, Kashif Hesham Khan, Sohail Khalid, Abdullah Alhumaidi Alotaibi, Turke Althobaiti, Naeem Ramzan, Jawad Ahmad, Syed Aziz Shah, Qammer H. Abbasi
Format: Artikel
Sprache:English
Veröffentlicht: MDPI AG 2022-01-01
Schriftenreihe:Sensors
Schlagworte:
encryption
security
deep learning
machine learning
chaos
Online Zugang:https://www.mdpi.com/1424-8220/22/2/461

Online

https://www.mdpi.com/1424-8220/22/2/461

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