张巧丽,赵地,迟学斌.基于深度学习的医学影像诊断综述[J].计算机科学,2017,44(Z11):1-7
基于深度学习的医学影像诊断综述
Review for Deep Learning Based on Medical Imaging Diagnosis
  
DOI:10.11896/j.issn.1002-137X.2017.11A.001
中文关键词:  深度学习,疾病诊断,医学影像
英文关键词:Deep learning,Disease diagnosis,Medical imaging
基金项目:
作者单位
张巧丽 中国科学院计算机网络信息中心 北京100190 
赵地 中国科学院计算机网络信息中心 北京100190 
迟学斌 中国科学院计算机网络信息中心 北京100190 
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中文摘要:
      目前各类医学影像数据积累迅速,给利用传统影像分析方法实现疾病诊断的医生带来了巨大挑战;计算机视觉领域的深度学习方法日渐成熟,为实现医学影像的自动分析及辅助医生实现疾病的高精度智能诊断提供了新的契机。文中综述了深度学习方法在医学影像领域的最新研究进展。首先,介绍了深度学习方法以及该类方法在医学影像领域的应用情况;然后,从应用深度学习主要研究的几大病症来分析具体的研究进展;最后,总结研究动向,预测研究趋势,并提出深度学习在医学影像研究中可能存在的问题以及建议。
英文摘要:
      At present,the various modalities of medical image data accumulate rapidly,bringing great challenges to doctors who diagnose disease through traditional medical image analysis methods.Deep learning method has gained great success and become more and more popular in the computer vision field.All that case provides new chances for automaticmedical image analysis and makes high precisely computer-aided disease diagnosis possible.In this paper,we reviewed state-of-the-art research progress of deep learning in the medical image field.Firstly,the method of deep learning and its application in the field of medical imaging are introduced.Then attention is focused on specific research progress of deep learning method in several typical and popular disease.Finally,the tendency of this research field is summarized,and then the existing problems and recommendations are put forward.
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