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Blockchain and DL-based Brain Tumour Prediction Scheme for Telesurgery Systems in Healthcare 4.0

2024 International Wireless Communications and Mobile Computing (IWCMC)(2024)

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Abstract
With the changing lifestyle of people, they are getting more prone to various diseases, some of which might prove to be dangerous and can cause serious health problems. The chances of getting brain tumors are increasing, with new alarming cases being found every day, and the detection and classification for further surgery are very crucial and should be done without due. Therefore, we propose here a Deep Learning (DL) CNN-based brain tumor classification framework that helps in analyzing the image and classifying it in its respective type. In addition, we integrate the blockchain technology to securely store the data, make it easily accessible at the time of need, and prevent it from malware practices. We have used the IPFS protocol in order to make our framework cost-efficient. The results of various DL models are compared and a CNN-based framework is proposed. The CNN-based model demonstrated an exceptional performance by achieving an accuracy of 97.91%.
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Key words
Brain Tumour,Deep Learning,Telesurgery,Blockchain,IPFS,CNN
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