Numerical Algorithms for Nonlinear Models with Applications in Economics and Medical Image Processing

非线性模型的数值算法在经济学和医学图像处理中的应用

• 批准号: RGPIN-2015-04039
• 负责人: Wan, Justin
• 金额: $ 1.31万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=634916
• 关键词: Numerical; Algorithms; Nonlinear; Models; Applications

Scientific simulation and visualization have been playing an increasingly central role in scientific discoveries and engineering designs, as well as in business and social sciences. In the heath care industry, common diseases such as diabetes, stroke, and cancer results in substantial expenditure in Canada every year. Understanding how the regulatory gene networks affect cell function will facilitate treatment of common disorders. Such studies record thousands of images in a time series, with tens to hundreds of cells in each frame. Computational models provide an efficient, robust, and reliable tool to analyze cell images and the tracking of cellular behaviors.

科学模拟和可视化在科学发现和工程设计以及商业和社会科学中发挥着越来越重要的作用。 在医疗保健行业，糖尿病、中风、癌症等常见疾病每年给加拿大带来巨额支出。了解调控基因网络如何影响细胞功能将有助于常见疾病的治疗。此类研究在一个时间序列中记录了数千张图像，每帧中有数十到数百个细胞。计算模型提供了一种高效、稳健且可靠的工具来分析细胞图像和跟踪细胞行为。