Quantifying the Impact of Watermarking on Deep Learning Accuracy in Medical Image Classification

Quantifying the Impact of Watermarking on Deep Learning Accuracy in Medical Image Classification

Medical imaging is a crucial component of any modern healthcare system, and image classification is a key technique of Computer-Aided Diagnosis (CADx) system that provides accurate detection and treatment for various diseases. With the increasing use of digital medical images, there is a growing con...

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Bibliographic Details
Main Authors: Ahmed A. Mohammed, Sohaib R. Awad, Mohammed A. M. Abdullah, Ersin Elbasi, Wai L. Woo
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Deep learning
classification
medical imaging
digital watermarking
RDWT
CNN
Online Access:https://ieeexplore.ieee.org/document/10736582/
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