Abstract
BLOCKCHAIN-BASED DEEP LEARNING FOR CANCER TUMOR DETECTION AND MONITORING
Mbarek Lahdoud* and Ahmed Asimi
ABSTRACT
Our system aims to detect possible cancer cells, their locations andtheir phases after medical imaging. For this, it uses Blockchain and anartificial neural network. In our paper, we will exploit the trusted thirdparty played by the blockchain to provide Deep Learning with asecure, reliable, unalterable and extensible data source, by browsing allthe blocks and by registering new data in the case of a new objectvalidated by Blockchain participants. These enrich the informationalheritage made available to Deep Learning to learn and forge a modelby adjusting the internal parameters of the neuronal network. Also, thisDeep Learning can connect with other Blockchains to achieve betterperformance. Finally, the system composed of a blockchain and a DeepLearning user will find its application in health by a Blockchain ofHealth Specialists and diagnosis of diseases by Deep Learning.
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