Discriminative detection and quantification of cancer imaging biomarkers

该项目旨在开发一种新的框架，用于检测和量化诊断和组织病理学图像中的癌症生物标志物，并对内在结构进行判别建模。该框架将是第一个计算机化的解决方案，在宏观和微观水平上提供癌症成像生物标志物的自动定量注释，以支持图像解释的标准化报告。这将有助于减少观察员之间的差异和人工分析的耗时过程。该项目旨在推进广义视觉结构提取和分类的基础生物医学成像研究，并为个性化癌症护理的系统病理学进行大规模转化研究。

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.