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Deep learning models for diagnosing spleen and stomach diseases in smart Chinese medicine with cloud computing

机译:云计算智能中医脾胃疾病的深度学习模型

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摘要

Cloud computing is significantly contributing to the development of smart Chinese medicine. The diagnosis and treatment of spleen and stomach diseases has been arousing great interest in smart Chinese medicine with cloud computing since many persons are suffering from spleen and stomach diseases. Currently, spleen and stomach diseases present some new characteristics with the dramatic changes in natural climate, social environment, and human living habits. Recently, deep learning, together with cloud computing techniques, has successfully used in medical image analysis and therefore it is the most promising model for diagnosing spleen and stomach disease in smart Chinese medicine. In this paper, we present a survey on deep learning models in medical image analysis for computer-aided diagnosis in modern medicine. Afterwards, we summarize the syndrome types of spleen and stomach diseases and furthermore analyze the causes and pathogenesis for each syndrome. Finally, we discuss the open challenges and research directions of deep learning models applicable to the computer-aided diagnosis of spleen and stomach diseases, which is expected to contribute to the development of smart Chinese medicine with cloud computing.
机译:云计算显着促进了智能中医的发展。由于许多人患有脾胃疾病,脾胃疾病的诊断和治疗令人兴奋地引起云计算的兴趣。目前,脾胃疾病呈现出一些新的特征,具有自然气候,社会环境和人类生活习惯的巨大变化。最近,深入学习,与云计算技术一起成功用于医学图像分析,因此它是智能中医诊断脾胃病的最有希望的模型。本文介绍了现代医学中计算机辅助诊断的医学图像分析深度学习模型调查。然后,我们总结了脾胃疾病的综合体类型,进一步分析了每种综合征的原因和发病机制。最后,我们讨论了适用于脾胃疾病的计算机辅助诊断的深度学习模型的开放挑战和研究方向,预计将有助于云计算智能中医的发展。

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