采用混合水平集模型分割的结果可用于三维重建和三维充填物计算，从而达到计算机辅助指导临床手术的目的。
The segment results of hybrid level set model can be used in 3-D eye socket reconstruction and calculation of hydroxyapatite implant, which are useful in computer-aided surgery.
他们开发的农村儿童保健计算机辅助管理系统具有资料登记、健康评价、保健指导、信息查询、统计分析等多种功能。
The computer auxiliary administer system has many kinds function which are means register, health assessment, health guidance, information direction, and statistics analysis.
本文试图在建构主义学习观的指导下，在初中几何教学中进行一些计算机辅助教学的尝试与探索。
This paper tried to make some experiment in Geometry CAI under the guidance of the theory Constructivism.
对我国计算机辅助教育研究起到重要指导作用的思想有两个，“第二文化论”和“工具论”，目前占主导地位的是后者。
The two main guiding theory for the research on computer-aid teaching are "the theory of second culture" and "the theory of tools", with the latter as the dominant.
本文研究了智能计算机辅助教学系统中习题库的实现方法，智能指导方式的设计思想及状态信息数据加密解密的保存。
The implementation of the exercise library design idea of coach approach, and storage of secret information condition in intelligent compuer assistant system are totally studied in the paper.
该文介绍渐开线圆柱齿轮精度的计算机辅助设计及计算的有关问题，对提高齿轮精度设计的准确度及其合理性有一定的实际指导意义。
Some points about the CAD of the accuracy in involute cylindrical gears are to be approached in this thesis, which can improve the reasonableness and the accuracy grade of designing.
本文以热工理论和模糊控制原理为指导，以计算机为辅助工具，以辊道窑为研究对象，研究了气氛温度的解耦控制。
Under the guidance of the thermal theory and the fuzzy control theory, this paper aims to make research on the atmosphere-temperature decouple control in roller kiln with the aid of computer.
本文工作对从事计算机辅助概念设计自动化系统的研究与开发具有重要的借鉴和指导意义。
The study is an important reference and guidance to the research and development of computer-aided product conceptual design automation system.
基于此，利用核机器学习方法和医生的先验知识，指导计算机辅助诊断未知影像数据，可大大提高医生准确诊断的效率。
Based on this, the diagnosis accurate can greatly improve by machine learning methods using a prior knowledge to guide computer-aided diagnosis of the unknown image data.
基于此，利用核机器学习方法和医生的先验知识，指导计算机辅助诊断未知影像数据，可大大提高医生准确诊断的效率。
Based on this, the diagnosis accurate can greatly improve by machine learning methods using a prior knowledge to guide computer-aided diagnosis of the unknown image data.
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