肺区自动分割是肺部肿瘤计算机辅助诊断系统的关键之一。
Automated segmentation of lung is one of key techniques in computer aided diagnosis systems to detect lung tumor.
研制和开发计算机辅助诊断系统是医学图像处理的一个热点。
Research and development of computer-assisted diagnosis system is a hot topic in the area of medical image processing.
可在临床医学疾病诊断应用中自动地为计算机辅助诊断系统提供可靠深度信息感知。
This algorithm is concise, fast and efficient so that it could provide automatic and reliable depth perception for computer aided diagnosis system in clinical medical application diagnosing diseases.
随着数字图像处理技术和模式识别技术在医学领域的广泛应用，建立胸水涂片的计算机辅助诊断系统已成为可能。
With the application of digital image processing technology and pattern recognition technology in the domain of medicine, it is possible to found a pleural effusions computer-aided diagnosis system.
骨肿瘤辅助诊断系统是运用专家系统的设计原理和方法，模拟医学专家诊断、治疗骨肿瘤的思维过程而编写的计算机程序。
Bone tumor assisted diagnosis system is such a computer programme that applies the design theory and method of expert system, simulates medical expert diagnosis and treatment in bone tumor.
本文介绍了一种基于CT图像的肺结节计算机辅助自动诊断系统。
In this paper, we present a computer-aided automatic diagnostic system for pulmonary nodules based on CT images.
结合医学影像信息学与计算机科学的相关知识，分析了在构建PACS时，实现基于DI-COM标准的医学影像辅助诊断系统的方法。
This paper analyzes the method of implementation of a Medical Image Aided Diagnosis System based on DICOM standard in a PACS.
结合医学影像信息学与计算机科学的相关知识，分析了在构建PACS时，实现基于DI-COM标准的医学影像辅助诊断系统的方法。
This paper analyzes the method of implementation of a Medical Image Aided Diagnosis System based on DICOM standard in a PACS.
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