Knowledge-based medical image analysis

基于知识的医学图像分析

• 批准号: 7397-2009
• 负责人: Venetsanopoulos, Anastasios
• 金额: $ 1.46万
• 依托单位: Ryerson University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2011
• 资助国家: 加拿大
• 起止时间: 2011-01-01 至 2012-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=474228
• 关键词: Knowledge; based; medical; image; analysis

The research which is presented in this proposal is aimed at the design and development of knowledge-based systems (KBS) for the analysis and diagnosis of medical images. Medical imaging is a fundamental aspect of numerous clinical decisions and its importance continues to increase in many areas of medicine. In recent years, the substantial developments in the field of computer technology have created remarkable progress in many areas including medical image processing. Among the different techniques used for medical imaging tasks, knowledge-based methods attempt to utilize the information that creates the appropriate models for image understanding and interpretation. The aim of this work is to provide a specific view as to how the information originating from the medical image context can be combined with a comprehensive knowledge-based technique to help solve the following problems:

本研究的目的是设计和开发基于知识的系统（KBS），用于医学图像的分析和诊断。医学成像是许多临床决策的一个基本方面，其重要性在许多医学领域不断增加。近年来，计算机技术领域的长足发展在包括医学图像处理在内的许多领域都取得了显著的进步。在用于医学成像任务的不同技术中，基于知识的方法试图利用创建用于图像理解和解释的适当模型的信息。这项工作的目的是提供一个具体的观点，如何从医学图像背景的信息可以与一个全面的知识为基础的技术相结合，以帮助解决以下问题：