Smart Healthcare Forgery Detection Using Deep Learning

Computer Engineering

The invention of new communication technologies, new features and facilities are provided in a smart healthcare framework. The features and facilities aim to provide a easy-to-use, accurate, and real-time healthcare service to clients. As health is a sensitive issue, it should be taken care of with utmost security and caution. In this way, the system works seamlessly and in real time. The bandwidth requirement of the proposed system is also reasonable. A new image forgery detection method based on deep learning technique, which utilizes a convolutional neural network (CNN). A image forgery detection method find the fraud medical images using the Convolutional neural network.The invention of new communication technologies, new features and facilities are provided in a smart healthcare framework. The features and facilities aim to provide a easy-to-use, accurate, and real-time healthcare service to clients. As health is a sensitive issue, it should be taken care of with utmost security and caution. In this way, the system works seamlessly and in real time. The bandwidth requirement of the proposed system is also reasonable. A new image forgery detection method based on deep learning technique, which utilizes a convolutional neural network (CNN). A image forgery detection method find the fraud medical images using the Convolutional neural network.

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