Mammographic Risk Assessment Based on Anatomical Linear Structures

Edward Michael Hadley; Erika R. E. Denton; Reyer Zwiggelaar

doi:10.1007/11783237_84

Mammographic Risk Assessment Based on Anatomical Linear Structures

Edward Michael Hadley
, Erika R. E. Denton
, Reyer Zwiggelaar

Department of Computer Science

Norfolk and Norwich University Hospitals NHS Foundation Trust

Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (ISBN)

6 Citations (Scopus)

Abstract

Mammographie risk assessment is concerned with the probability of a woman developing breast cancer. Recently, it has been suggested that the density of linear structures is related to risk. For 321 images from the MIAS database, a measure of line strength was obtained for each pixel using the Line Operator method. The proportion of pixels with line strength above a threshold level was calculated for each image and the results categorised by Tabar pattern, Boyd SCC class and BIRADS class. The results indicated a significant difference between Boyd classes 1-3 (low risk) and classes 4-6 (high risk), and between most Tabar patterns and BIRADS classes.

Original language	English
Title of host publication	Digital Mammography - 8th International Workshop, IWDM 2006, Proceedings
Subtitle of host publication	8th International Workshop, IWDM 2006, Manchester, UK, June 18-21, 2006, Proceedings
Editors	Susan M. Astley, Michael Brady, Chris Rose, Reyer Zwiggelaar
Publisher	Springer Nature
Pages	626-633
Number of pages	8
ISBN (Electronic)	978-3-540-35627-1
ISBN (Print)	3540356258, 9783540356257
DOIs	https://doi.org/10.1007/11783237_84
Publication status	Published - 21 Jun 2006

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4046 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.1007/11783237_84

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Hadley, E. M., Denton, E. R. E., & Zwiggelaar, R. (2006). Mammographic Risk Assessment Based on Anatomical Linear Structures. In S. M. Astley, M. Brady, C. Rose, & R. Zwiggelaar (Eds.), Digital Mammography - 8th International Workshop, IWDM 2006, Proceedings: 8th International Workshop, IWDM 2006, Manchester, UK, June 18-21, 2006, Proceedings (pp. 626-633). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4046 LNCS). Springer Nature. https://doi.org/10.1007/11783237_84

Hadley, Edward Michael ; Denton, Erika R. E. ; Zwiggelaar, Reyer. / Mammographic Risk Assessment Based on Anatomical Linear Structures. Digital Mammography - 8th International Workshop, IWDM 2006, Proceedings: 8th International Workshop, IWDM 2006, Manchester, UK, June 18-21, 2006, Proceedings. editor / Susan M. Astley ; Michael Brady ; Chris Rose ; Reyer Zwiggelaar. Springer Nature, 2006. pp. 626-633 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Mammographic Risk Assessment Based on Anatomical Linear Structures",

abstract = "Mammographie risk assessment is concerned with the probability of a woman developing breast cancer. Recently, it has been suggested that the density of linear structures is related to risk. For 321 images from the MIAS database, a measure of line strength was obtained for each pixel using the Line Operator method. The proportion of pixels with line strength above a threshold level was calculated for each image and the results categorised by Tabar pattern, Boyd SCC class and BIRADS class. The results indicated a significant difference between Boyd classes 1-3 (low risk) and classes 4-6 (high risk), and between most Tabar patterns and BIRADS classes.",

author = "Hadley, \{Edward Michael\} and Denton, \{Erika R. E.\} and Reyer Zwiggelaar",

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Hadley, EM, Denton, ERE & Zwiggelaar, R 2006, Mammographic Risk Assessment Based on Anatomical Linear Structures. in SM Astley, M Brady, C Rose & R Zwiggelaar (eds), Digital Mammography - 8th International Workshop, IWDM 2006, Proceedings: 8th International Workshop, IWDM 2006, Manchester, UK, June 18-21, 2006, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4046 LNCS, Springer Nature, pp. 626-633. https://doi.org/10.1007/11783237_84

Mammographic Risk Assessment Based on Anatomical Linear Structures. / Hadley, Edward Michael; Denton, Erika R. E.; Zwiggelaar, Reyer.
Digital Mammography - 8th International Workshop, IWDM 2006, Proceedings: 8th International Workshop, IWDM 2006, Manchester, UK, June 18-21, 2006, Proceedings. ed. / Susan M. Astley; Michael Brady; Chris Rose; Reyer Zwiggelaar. Springer Nature, 2006. p. 626-633 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4046 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (ISBN)

TY - GEN

T1 - Mammographic Risk Assessment Based on Anatomical Linear Structures

AU - Hadley, Edward Michael

AU - Denton, Erika R. E.

AU - Zwiggelaar, Reyer

PY - 2006/6/21

Y1 - 2006/6/21

N2 - Mammographie risk assessment is concerned with the probability of a woman developing breast cancer. Recently, it has been suggested that the density of linear structures is related to risk. For 321 images from the MIAS database, a measure of line strength was obtained for each pixel using the Line Operator method. The proportion of pixels with line strength above a threshold level was calculated for each image and the results categorised by Tabar pattern, Boyd SCC class and BIRADS class. The results indicated a significant difference between Boyd classes 1-3 (low risk) and classes 4-6 (high risk), and between most Tabar patterns and BIRADS classes.

AB - Mammographie risk assessment is concerned with the probability of a woman developing breast cancer. Recently, it has been suggested that the density of linear structures is related to risk. For 321 images from the MIAS database, a measure of line strength was obtained for each pixel using the Line Operator method. The proportion of pixels with line strength above a threshold level was calculated for each image and the results categorised by Tabar pattern, Boyd SCC class and BIRADS class. The results indicated a significant difference between Boyd classes 1-3 (low risk) and classes 4-6 (high risk), and between most Tabar patterns and BIRADS classes.

UR - https://www.scopus.com/pages/publications/33746373851

U2 - 10.1007/11783237_84

DO - 10.1007/11783237_84

M3 - Conference Proceeding (ISBN)

SN - 3540356258

SN - 9783540356257

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 626

EP - 633

BT - Digital Mammography - 8th International Workshop, IWDM 2006, Proceedings

A2 - Astley, Susan M.

A2 - Brady, Michael

A2 - Rose, Chris

A2 - Zwiggelaar, Reyer

PB - Springer Nature

ER -

Hadley EM, Denton ERE, Zwiggelaar R. Mammographic Risk Assessment Based on Anatomical Linear Structures. In Astley SM, Brady M, Rose C, Zwiggelaar R, editors, Digital Mammography - 8th International Workshop, IWDM 2006, Proceedings: 8th International Workshop, IWDM 2006, Manchester, UK, June 18-21, 2006, Proceedings. Springer Nature. 2006. p. 626-633. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11783237_84

Mammographic Risk Assessment Based on Anatomical Linear Structures

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