Extended Forgery Detection Framework for COVID-19 Medical Data Using Convolutional Neural Network

Medical data tampering has become one of the main challenges in the field of secure-aware medical data processing. Forgery of normal patients’ medical data to present them as COVID-19 patients is an illegitimate action that has been carried out in different ways recently. Therefore, the integrity of...

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Veröffentlicht in:	Computers, materials & continua materials & continua, 2021, Vol.68 (3), p.3773-3787
Hauptverfasser:	Habib Gill, Sajid, Ahmed Sheikh, Noor, Rajpar, Samina, ul Abidin, Zain, Z. Jhanjhi, N., Ahmad, Muneer, Abdur Razzaq, Mirza, S. Alshamrani, Sultan, Malik, Yasir, Jaafar, Fehmi
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Coronaviruses COVID-19 Data processing Error analysis Forgery Model accuracy Model testing Neural networks Splicing
Online-Zugang:	Volltext
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