Automated assessment of area of dense tissue in the breast: A comparison with human estimation

C. Jeffries-Chung, J. Diffey, M. Berks, J. Morrison, R. Verow, J. Morris, M. Wilson, C. Boggis, N. Barr, A. Maxwell, A. Hufton, S. Astley

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Both interactive thresholding tools and human visual assessment have been related to the risk of developing breast cancer. In this paper we explore the relationship between human assessment of area of dense tissue and the actual thickness of tissue in the breast by using a volumetric density technique to compute areas of dense tissue, varying the threshold below which areas of low density are discounted and observing the correlation with visual assessment of density at different thresholds. Based on analysis of thresholds used in the automated method, radiologists' definition of a dense pixel is one in which the percentage of glandular tissue is between 10% and 20% of the total thickness of the compressed breast at that point
Original languageUndefined
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Subtitle of host publication10th International Workshop on Digital Mammography, IWDM 2010; Girona, Catalonia; Spain; 16 June 2010 through 18 June 2010;
Number of pages7
Volume 6136
Publication statusPublished - 2010

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