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KMID : 0357520200430030195
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Journal of Radiological Science and Technology
2020 Volume.43 No. 3 p.195 ~ p.208
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Artificial Intelligence Based Medical Imaging: An Overview
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Hong Jun-Yong
Park Sang-Hyun
Jung Young-Jin
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Abstract
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Artificial intelligence(AI) is a field of computer science that is defined as allowing computers to imitate human intellectual behavior, even though AI's performance is to imitate humans. It is grafted across software-based fields with the advantages of high accuracy and speed of processing that surpasses humans. Indeed, the AI based technology has become a key technology in the medical field that will lead the development of medical image analysis. Therefore, this article introduces and discusses the concept of deep learning-based medical imaging analysis using the principle of algorithms for convolutional neural network(CNN) and back propagation. The research cases application of the AI based medical imaging analysis is used to classify the various disease(such as chest disease, coronary artery disease, and cerebrovascular disease), and the performance estimation comparing between AI based medical imaging classifier and human experts.
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KEYWORD
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Artificial Intelligence, Medical Imaging, Deep Learning, Artificial Neural Network
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