Discriminative detection and quantification of cancer imaging biomarkers

癌症成像生物标志物的判别检测和定量

• 批准号: DE150101655
• 负责人: A/Prof Yang Song
• 金额: $ 20.49万
• 依托单位: The University of Sydney
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Early Career Researcher Award
• 财政年份: 2015
• 资助国家: 澳大利亚
• 起止时间: 2015-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DE150101655
• 关键词: Discriminative; detection; quantification; cancer; imaging

This project aims to develop a new framework for the detection and quantification of cancer biomarkers in diagnostic and histopathology images with discriminative modelling of intrinsic structures. The framework will be the first computerised solution to provide automated, quantitative annotations of cancer imaging biomarkers at the macroscopic and microscopic levels to support standardised reporting of image interpretation. It will help to alleviate the inter-observer variability and time-consuming process of manual analysis. The project aims to advance fundamental biomedical imaging research in generalised visual structure extraction and classification, and enable large-scale translational research in systems pathology for personalised cancer care.

该项目旨在开发一个新的框架，用于通过内在结构的判别建模来检测和量化诊断和组织病理学图像中的癌症生物标志物。该框架将是第一个在宏观和微观层面提供癌症成像生物标志物自动化定量注释的计算机化解决方案，以支持图像解释的标准化报告。它将有助于减轻观察者之间的差异和手动分析的耗时过程。该项目旨在推进广义视觉结构提取和分类方面的基础生物医学成像研究，并实现个性化癌症护理的系统病理学大规模转化研究。