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 integri...
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| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Published: |
Tech Science Press
2021
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/34345/ |
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