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

doi:10.1007/978-3-642-13666-5_23

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/Conference proceeding › Conference contribution › peer-review

Abstract

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 language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Subtitle of host publication	10th International Workshop on Digital Mammography, IWDM 2010; Girona, Catalonia; Spain; 16 June 2010 through 18 June 2010;
Pages	168-174
Number of pages	7
Volume	6136
DOIs	https://doi.org/10.1007/978-3-642-13666-5_23
Publication status	Published - 2010

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10.1007/978-3-642-13666-5_23

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Jeffries-Chung, C., Diffey, J., Berks, M., Morrison, J., Verow, R., Morris, J., Wilson, M., Boggis, C., Barr, N., Maxwell, A., Hufton, A., & Astley, S. (2010). Automated assessment of area of dense tissue in the breast: A comparison with human estimation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): 10th International Workshop on Digital Mammography, IWDM 2010; Girona, Catalonia; Spain; 16 June 2010 through 18 June 2010; (Vol. 6136 , pp. 168-174) https://doi.org/10.1007/978-3-642-13666-5_23

Jeffries-Chung, C. ; Diffey, J. ; Berks, M. et al. / Automated assessment of area of dense tissue in the breast : A comparison with human estimation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): 10th International Workshop on Digital Mammography, IWDM 2010; Girona, Catalonia; Spain; 16 June 2010 through 18 June 2010;. Vol. 6136 2010. pp. 168-174

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abstract = "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",

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

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Jeffries-Chung, C, Diffey, J, Berks, M, Morrison, J, Verow, R, Morris, J, Wilson, M, Boggis, C, Barr, N, Maxwell, A, Hufton, A & Astley, S 2010, Automated assessment of area of dense tissue in the breast: A comparison with human estimation. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): 10th International Workshop on Digital Mammography, IWDM 2010; Girona, Catalonia; Spain; 16 June 2010 through 18 June 2010;. vol. 6136 , pp. 168-174. https://doi.org/10.1007/978-3-642-13666-5_23

Automated assessment of area of dense tissue in the breast: A comparison with human estimation. / Jeffries-Chung, C.; Diffey, J.; Berks, M. et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): 10th International Workshop on Digital Mammography, IWDM 2010; Girona, Catalonia; Spain; 16 June 2010 through 18 June 2010;. Vol. 6136 2010. p. 168-174.

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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Jeffries-Chung C, Diffey J, Berks M, Morrison J, Verow R, Morris J et al. Automated assessment of area of dense tissue in the breast: A comparison with human estimation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): 10th International Workshop on Digital Mammography, IWDM 2010; Girona, Catalonia; Spain; 16 June 2010 through 18 June 2010;. Vol. 6136 . 2010. p. 168-174 doi: 10.1007/978-3-642-13666-5_23

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

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