High-throughput mammographic-density measurement: a tool for risk prediction of breast cancer

Abstract

Mammographic density (MD) is a strong, independent risk factor for breast cancer, but measuring MD is time consuming and reader dependent. Objective MD measurement in a high-throughput fashion would enable its wider use as a biomarker for breast cancer. We use a public domain image-processing software for the fully automated analysis of MD and penalized… (More)
DOI: 10.1186/bcr3238

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Cite this paper

@inproceedings{Li2012HighthroughputMM, title={High-throughput mammographic-density measurement: a tool for risk prediction of breast cancer}, author={Jingmei Li and Laszlo Szekely and Louise Eriksson and Boel Heddson and Ann Sundbom and Kamila Czene and Per Hall and Keith Humphreys}, booktitle={Breast Cancer Research}, year={2012} }