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。
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.
出处
《协和医学杂志》
2018年第1期10-14,共5页
Medical Journal of Peking Union Medical College Hospital
关键词
深度学习
人工智能
医学影像
临床研究
deep learning
artificial intelligence
medical imaging
clinical research
