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KMID : 1147120140200010013
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Journal of the Korean Society of Imaging Informatics in Medicine
2014 Volume.20 No. 1 p.13 ~ p.18
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Deep Learning in Medical Imaging
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Lee Han-Sang
Park Min-Seok
Kim Jun-Mo
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Abstract
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As a branch of artificial intelligence, machine learning has been one of the most important technologies not only in computer vision but also in medical image analysis. Currently, the deep learning, a specific model of artificial neural networks, is getting increasing attention with its theoretical novelty and significantly successful performance in computer vision. Furthermore, since deep learning has shifted the paradigm of feature extraction from the hand-crafted features to the learnt-from-data features, deep learning is considered as a promising machine learning framework in medical imaging applications. In this paper, we briefly introduce the concepts of deep learning and its several models. Additionally, we review the related works on deep learning applications in medical image analysis including image classification, detection and segmentation
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KEYWORD
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Machine learning, Deep learning, Artificial neural network, Medical imaging, Image analysis
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