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首页> 外文期刊>Hepatology international >Current status and perspectives for computer-aided ultrasonic diagnosis of liver lesions using deep learning technology
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Current status and perspectives for computer-aided ultrasonic diagnosis of liver lesions using deep learning technology

机译：利用深层学习技术的计算机辅助超声诊断计算机辅助超声诊断的现状与透视

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摘要

An ultrasound (US) examination is a common noninvasive technique widely applied for diagnosis of a variety of diseases. Based on the rapid development of US equipment, many US images have been accumulated and are now available and ready for the preparation of a database for the development of computer-aided US diagnosis with deep learning technology. On the contrary, because of the unique characteristics of the US image, there could be some issues that need to be resolved for the establishment of computer-aided diagnosis (CAD) system in this field. For example, compared to the other modalities, the quality of a US image is, currently, highly operator dependent; the conditions of examination should also directly affect the quality of US images. So far, these factors have hampered the application of deep learning-based technology in the field of US diagnosis. However, the development of CAD and US technologies will contribute to an increase in diagnostic quality, facilitate the development of remote medicine, and reduce the costs in the national health care through the early diagnosis of diseases. From this point of view, it may have a large enough potential to induce a paradigm shift in the field of US imaging and diagnosis of liver diseases.
机译：超声（美国）检查是一种常见的非侵入性技术，广泛应用于诊断各种疾病。基于美国设备的快速发展，许多美国的图像已经积累，现在可以提供并准备编制数据库，以便使用深度学习技术的计算机辅助美国诊断。相反，由于美国图像的独特特征，可能有一些问题需要解决该领域中的计算机辅助诊断（CAD）系统。例如，与其他方式相比，美国形象的质量目前是高度操作者依赖;审查条件也应直接影响美国图像的质量。到目前为止，这些因素阻碍了在美国诊断领域的深度学习技术中的应用。然而，CAD和美国技术的发展将有助于提高诊断质量，促进远程医学的发展，通过早期诊断疾病降低国家医疗保健的成本。从这个角度来看，它可能具有足够大的潜力来诱导美国成像和肝脏诊断领域的范式转变。

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