由于医学图像数据爆炸式增长，传统依靠医生人工对医学图像进行分析诊断，医生易出现疲劳，不仅工作效率低下，工作量大，还容易产生误诊、漏诊。随着人工智能（artificial intelligence，AI）技术的发展与应用，机器学习（machine learning，ML），尤其是深度学习（deep learning，DL）在医学图像分析领域发挥着越来越重要的作用。为了进一步了解DL在医学图像自动分割和分类识别中的研究，本文对DL及其在医学图像分析领域的研究进展进行综述。为DL在解决医学图像分析诊断方面提供有益参考。

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