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

Adran Cyfrifiadureg

Norfolk and Norwich University Hospitals NHS Foundation Trust

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Trafodion Cynhadledd (ISBN)

6 Dyfyniadau (Scopus)

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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.

Iaith wreiddiol	Saesneg
Teitl	Digital Mammography - 8th International Workshop, IWDM 2006, Proceedings
Is-deitl	8th International Workshop, IWDM 2006, Manchester, UK, June 18-21, 2006, Proceedings
Golygyddion	Susan M. Astley, Michael Brady, Chris Rose, Reyer Zwiggelaar
Cyhoeddwr	Springer Nature
Tudalennau	626-633
Nifer y tudalennau	8
ISBN (Electronig)	978-3-540-35627-1
ISBN (Argraffiad)	3540356258, 9783540356257
Dynodwyr Gwrthrych Digidol (DOIs)	https://doi.org/10.1007/11783237_84
Statws	Cyhoeddwyd - 21 Meh 2006

Cyfres gyhoeddiadau

Enw	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Cyfrol	4046 LNCS
ISSN (Argraffiad)	0302-9743
ISSN (Electronig)	1611-3349

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

@inproceedings{57698d1f72394c6a82cc17c495c22c31,

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",

year = "2006",

month = jun,

day = "21",

doi = "10.1007/11783237\_84",

language = "English",

isbn = "3540356258",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Nature",

pages = "626--633",

editor = "Astley, \{Susan M.\} and Michael Brady and Chris Rose and Reyer Zwiggelaar",

booktitle = "Digital Mammography - 8th International Workshop, IWDM 2006, Proceedings",

address = "Switzerland",

}

Hadley, EM, Denton, ERE & Zwiggelaar, R 2006, Mammographic Risk Assessment Based on Anatomical Linear Structures. yn SM Astley, M Brady, C Rose & R Zwiggelaar (gol.), 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), cyfrol. 4046 LNCS, Springer Nature, tt. 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. gol. / Susan M. Astley; Michael Brady; Chris Rose; Reyer Zwiggelaar. Springer Nature, 2006. t. 626-633 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Cyfrol 4046 LNCS).

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Trafodion Cynhadledd (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.

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DO - 10.1007/11783237_84

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SN - 9783540356257

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

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

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Hadley EM, Denton ERE, Zwiggelaar R. Mammographic Risk Assessment Based on Anatomical Linear Structures. Yn Astley SM, Brady M, Rose C, Zwiggelaar R, golygyddion, Digital Mammography - 8th International Workshop, IWDM 2006, Proceedings: 8th International Workshop, IWDM 2006, Manchester, UK, June 18-21, 2006, Proceedings. Springer Nature. 2006. t. 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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