Risk Classification of Mammograms Using Anatomical Linear Structure and Density Information

Edward Michael Hadley; Erika R. E. Denton; Josep Pont; Elsa Pérez; Reyer Zwiggelaar

doi:10.1007/978-3-540-72849-8_24

Risk Classification of Mammograms Using Anatomical Linear Structure and Density Information

Edward Michael Hadley, Erika R. E. Denton, Josep Pont, Elsa Pérez, Reyer Zwiggelaar

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Mammographic 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, the images were segmented in to dense and non-dense tissue using a method described by Sivaramakrishna, et al. In addition, a measure of line strength was obtained for each pixel using the Line Operator method. The above-threshold linearity was calculated in dense and non-dense tissue for each image and the images were then classified by BIRADS class using linear discriminant analysis. The results show a marked improvement when both density and linear structure information is used in classification over density information alone.

Iaith wreiddiol	Saesneg
Teitl	Pattern Recognition and Image Analysis
Is-deitl	Third Iberian Conference, IbPRIA 2007, Girona, Spain, June 6-8, 2007, Proceedings, Part II
Golygyddion	Joan Martí, José Miguel Benedí, Ana Maria Mendonça, Joan Serrat
Cyhoeddwr	Springer Nature
Tudalennau	186-193
Nifer y tudalennau	8
ISBN (Electronig)	978-3-540-72849-8
ISBN (Argraffiad)	978-3-540-72848-1
Dynodwyr Gwrthrych Digidol (DOIs)	https://doi.org/10.1007/978-3-540-72849-8_24
Statws	Cyhoeddwyd - 31 Mai 2007
Digwyddiad	Third Iberian Conference, IbPRIA 2007: Pattern Recognition and Image Analysis - Girona, Sbaen Hyd: 06 Meh 2007 → 08 Meh 2007

Cyfres gyhoeddiadau

Enw	Lecture Notes in Computer Science
Cyhoeddwr	Springer Nature
Cyfrol	4478
ISSN (Argraffiad)	0302-9743
ISSN (Electronig)	1611-3349

Cynhadledd

Cynhadledd	Third Iberian Conference, IbPRIA 2007
Gwlad/Tiriogaeth	Sbaen
Dinas	Girona
Cyfnod	06 Meh 2007 → 08 Meh 2007

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Hadley, E. M., Denton, E. R. E., Pont, J., Pérez, E., & Zwiggelaar, R. (2007). Risk Classification of Mammograms Using Anatomical Linear Structure and Density Information. Yn J. Martí, J. M. Benedí, A. M. Mendonça, & J. Serrat (Gol.), Pattern Recognition and Image Analysis: Third Iberian Conference, IbPRIA 2007, Girona, Spain, June 6-8, 2007, Proceedings, Part II (tt. 186-193). (Lecture Notes in Computer Science; Cyfrol 4478). Springer Nature. https://doi.org/10.1007/978-3-540-72849-8_24

Hadley, Edward Michael ; Denton, Erika R. E. ; Pont, Josep et al. / Risk Classification of Mammograms Using Anatomical Linear Structure and Density Information. Pattern Recognition and Image Analysis: Third Iberian Conference, IbPRIA 2007, Girona, Spain, June 6-8, 2007, Proceedings, Part II. Gol. / Joan Martí ; José Miguel Benedí ; Ana Maria Mendonça ; Joan Serrat. Springer Nature, 2007. tt. 186-193 (Lecture Notes in Computer Science).

@inproceedings{39dc13f1b0614ae49cf178422a687a57,

title = "Risk Classification of Mammograms Using Anatomical Linear Structure and Density Information",

abstract = "Mammographic 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, the images were segmented in to dense and non-dense tissue using a method described by Sivaramakrishna, et al. In addition, a measure of line strength was obtained for each pixel using the Line Operator method. The above-threshold linearity was calculated in dense and non-dense tissue for each image and the images were then classified by BIRADS class using linear discriminant analysis. The results show a marked improvement when both density and linear structure information is used in classification over density information alone.",

keywords = "biomedical imaging, classifier systems, document analysis, face recognition, feature extraction, filtering, fuzzy logic, image analysis, image processing, image segementation, inforation theory, machine translation, modeling, neural network, pattern recognition",

author = "Hadley, {Edward Michael} and Denton, {Erika R. E.} and Josep Pont and Elsa P{\'e}rez and Reyer Zwiggelaar",

year = "2007",

month = may,

day = "31",

doi = "10.1007/978-3-540-72849-8_24",

language = "English",

isbn = "978-3-540-72848-1",

series = "Lecture Notes in Computer Science",

publisher = "Springer Nature",

pages = "186--193",

editor = "Joan Mart{\'i} and Bened{\'i}, {Jos{\'e} Miguel} and Mendon{\c c}a, {Ana Maria} and Joan Serrat",

booktitle = "Pattern Recognition and Image Analysis",

address = "Switzerland",

note = "Third Iberian Conference, IbPRIA 2007 : Pattern Recognition and Image Analysis ; Conference date: 06-06-2007 Through 08-06-2007",

}

Hadley, EM, Denton, ERE, Pont, J, Pérez, E & Zwiggelaar, R 2007, Risk Classification of Mammograms Using Anatomical Linear Structure and Density Information. yn J Martí, JM Benedí, AM Mendonça & J Serrat (gol.), Pattern Recognition and Image Analysis: Third Iberian Conference, IbPRIA 2007, Girona, Spain, June 6-8, 2007, Proceedings, Part II. Lecture Notes in Computer Science, cyfrol. 4478, Springer Nature, tt. 186-193, Third Iberian Conference, IbPRIA 2007, Girona, Sbaen, 06 Meh 2007. https://doi.org/10.1007/978-3-540-72849-8_24

Risk Classification of Mammograms Using Anatomical Linear Structure and Density Information. / Hadley, Edward Michael; Denton, Erika R. E.; Pont, Josep et al.
Pattern Recognition and Image Analysis: Third Iberian Conference, IbPRIA 2007, Girona, Spain, June 6-8, 2007, Proceedings, Part II. gol. / Joan Martí; José Miguel Benedí; Ana Maria Mendonça; Joan Serrat. Springer Nature, 2007. t. 186-193 (Lecture Notes in Computer Science; Cyfrol 4478).

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Trafodion Cynhadledd (Nid-Cyfnodolyn fathau)

TY - GEN

T1 - Risk Classification of Mammograms Using Anatomical Linear Structure and Density Information

AU - Hadley, Edward Michael

AU - Denton, Erika R. E.

AU - Pont, Josep

AU - Pérez, Elsa

AU - Zwiggelaar, Reyer

PY - 2007/5/31

Y1 - 2007/5/31

N2 - Mammographic 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, the images were segmented in to dense and non-dense tissue using a method described by Sivaramakrishna, et al. In addition, a measure of line strength was obtained for each pixel using the Line Operator method. The above-threshold linearity was calculated in dense and non-dense tissue for each image and the images were then classified by BIRADS class using linear discriminant analysis. The results show a marked improvement when both density and linear structure information is used in classification over density information alone.

AB - Mammographic 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, the images were segmented in to dense and non-dense tissue using a method described by Sivaramakrishna, et al. In addition, a measure of line strength was obtained for each pixel using the Line Operator method. The above-threshold linearity was calculated in dense and non-dense tissue for each image and the images were then classified by BIRADS class using linear discriminant analysis. The results show a marked improvement when both density and linear structure information is used in classification over density information alone.

KW - biomedical imaging

KW - classifier systems

KW - document analysis

KW - face recognition

KW - feature extraction

KW - filtering

KW - fuzzy logic

KW - image analysis

KW - image processing

KW - image segementation

KW - inforation theory

KW - machine translation

KW - modeling

KW - neural network

KW - pattern recognition

U2 - 10.1007/978-3-540-72849-8_24

DO - 10.1007/978-3-540-72849-8_24

M3 - Conference Proceeding (Non-Journal item)

SN - 978-3-540-72848-1

T3 - Lecture Notes in Computer Science

SP - 186

EP - 193

BT - Pattern Recognition and Image Analysis

A2 - Martí, Joan

A2 - Benedí, José Miguel

A2 - Mendonça, Ana Maria

A2 - Serrat, Joan

PB - Springer Nature

T2 - Third Iberian Conference, IbPRIA 2007

Y2 - 6 June 2007 through 8 June 2007

ER -

Hadley EM, Denton ERE, Pont J, Pérez E, Zwiggelaar R. Risk Classification of Mammograms Using Anatomical Linear Structure and Density Information. Yn Martí J, Benedí JM, Mendonça AM, Serrat J, golygyddion, Pattern Recognition and Image Analysis: Third Iberian Conference, IbPRIA 2007, Girona, Spain, June 6-8, 2007, Proceedings, Part II. Springer Nature. 2007. t. 186-193. (Lecture Notes in Computer Science). doi: 10.1007/978-3-540-72849-8_24

Risk Classification of Mammograms Using Anatomical Linear Structure and Density Information

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