A data science framework for modelling disease patterns from medical images

用于根据医学图像对疾病模式进行建模的数据科学框架

• 批准号: LP160101162
• 负责人: Prof Dagan Feng
• 金额: $ 25.02万
• 依托单位: The University of Sydney
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2016
• 资助国家: 澳大利亚
• 起止时间: 2016-12-31 至 2019-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP160101162
• 关键词: data; science; framework; modelling; disease

A data science framework for modelling disease patterns from medical images. This project aims to extract models of disease patterns from medical imaging data, using deep learning, smart image processing, machine learning, and statistical modelling to quantify and model patterns conventional methods cannot detect. These disease models are expected to improve understanding of particular diseases and enable precision medicine, which recognises that there are important differences between individuals with a particular disease, and that when patients are separated into sub-populations with similar disease patterns, treatment can be tailored to these sub-populations.

一个数据科学框架，用于从医学图像中建模疾病模式。该项目旨在从医学成像数据中提取疾病模式的模型，使用深度学习，智能图像处理，机器学习和统计建模来量化和建模传统方法无法检测的模式。这些疾病模型有望提高对特定疾病的理解，并实现精准医学，即认识到患有特定疾病的个体之间存在重要差异，并且当患者被分成具有相似疾病模式的亚群时，可以针对这些亚群进行治疗。