| 深度学习技术在医学影像领域的应用 |
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| 引用本文： | 夏黎明,沈坚,张荣国,王少康,陈宽.深度学习技术在医学影像领域的应用[J].协和医学杂志,2018,9(1):10-14. |
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| 作者姓名： | 夏黎明 沈坚 张荣国 王少康 陈宽 |
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| 作者单位： | 1.华中科技大学同济医学院附属同济医院放射科, 武汉 430030 |
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| 摘 要： | 深度学习技术, 作为最近几年人工智能最热门的研究领域, 已成为全世界关注的焦点。深度学习在很多行业中展现出强大的应用能力, 在某些视听识别任务中的表现甚至超越了人类。在医学领域, 深度学习也逐渐成为研究者们分析大数据, 尤其是医学影像的首选方法。本文简要介绍深度学习的历史与概况, 结合国内外最新和最有影响力的研究成果, 阐述深度学习在医学影像领域的科学研究进展, 同时介绍深度学习在医学影像领域产品化应用及其未来的机遇与挑战。
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| 关 键 词： | 深度学习 人工智能 医学影像 临床研究 |
| 收稿时间： | 2017-10-11 |
Application of Deep Learning in Medical Imaging Research |
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| Affiliation: | 1.Department of Radiology, Tongji Hospital, Tongji Medical College of HUST, Wuhan 430040, China2.Infervision Inc., Beijing 100025, China |
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| Abstract: | Deep learning, as the most popular research field in artificial intelligence, has been developing rapidly in recent years and become the focus of global attention. Deep learning has demonstrated a powerful role in many application areas. In some visual and auditory recognition tasks, deep learning even shows better performance than human beings. In medical domain, deep learning has become the top choice for researchers to analyze big data, especially medical imaging. This review briefly introduces the history and development of deep learning, and elaborates on the progress of research on deep learning in medical imaging by reviewing the latest and most influential research results. In addition, this paper briefly discusses application of deep learning in medical imaging analysis, as well as the future prospect and challenges of deep learning. |
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