自动识别是病理学发展的必然趋势,以计算机作为辅助手段的各种自动识别方法在病理学中发挥着越来越大的作用。本文简要介绍了以神经网络原理为基础的计算机自动识别方法,并对其在病理学中的最新应用进展,包括细胞涂片,肿瘤的诊断、鉴别诊断、分级、分期和预后等方面作一综述。 Automatic identification is an inevitable trend of pathological development. Various automatic recognition methods using computer as a supplementary measure play an increasingly important role in pathology. This article briefly introduced the automatic identification method based on the principle of neural network and gave a review on its latest application in pathology including cell smear, diagnosis, differential diagnosis, grading, staging and prognosis of tumor .