A hybrid detection scheme of architectural distortion in mammograms using iris filter and Gabor filter

Mizuki Yamazaki; Atsushi Teramoto; Hiroshi Fujita

doi:10.1007/978-3-319-41546-8_23

A hybrid detection scheme of architectural distortion in mammograms using iris filter and Gabor filter

Mizuki Yamazaki
, Atsushi Teramoto
, Hiroshi Fujita

Faculty of Radiological Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

Abstract

Architectural distortion in mammograms is the most frequently missed finding among breast cancer findings, the improvement of detection accuracy in existing commercial CAD software remains a challenge. In this study, in order to improve the detection accuracy of architectural distortion in mammography, we propose a hybrid automatic detection method that combines with the enhancement method of the concentration of line structure and massive pattern. In the method, the detection of the concentration of the line structure is conducted by the adaptive Gabor filter, and the enhancement of the massive pattern is performed by the iris filter. The concentration index is calculated from these filtered images; the lesion candidate regions are obtained. As for false positive (FP) reduction, 15 shape features are calculated from the candidate regions. Then, they are given to the support vector machine; the candidate regions are classified either as true positive or FP. In the experiment, we compared the results of the proposed method and physician interpretation report using 200 images (63 architectural distortions) from a digital database of screening mammography. Experimental results indicate that our method may be effective to improve the performance of computer aided detection in mammography.

Original language	English
Title of host publication	Breast Imaging - 13th International Workshop, IWDM 2016, Proceedings
Editors	Kristina Lang, Anders Tingberg, Pontus Timberg
Publisher	Springer Verlag
Pages	174-182
Number of pages	9
ISBN (Print)	9783319415451
DOIs	https://doi.org/10.1007/978-3-319-41546-8_23
Publication status	Published - 2016
Event	13th International Workshop on Breast Imaging, IWDM 2016 - Malmo, Sweden Duration: 19-06-2016 → 22-06-2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9699
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	13th International Workshop on Breast Imaging, IWDM 2016
Country/Territory	Sweden
City	Malmo
Period	19-06-16 → 22-06-16

UN SDGs

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

SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-319-41546-8_23

Cite this

Yamazaki, M., Teramoto, A., & Fujita, H. (2016). A hybrid detection scheme of architectural distortion in mammograms using iris filter and Gabor filter. In K. Lang, A. Tingberg, & P. Timberg (Eds.), Breast Imaging - 13th International Workshop, IWDM 2016, Proceedings (pp. 174-182). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9699). Springer Verlag. https://doi.org/10.1007/978-3-319-41546-8_23

Yamazaki, Mizuki ; Teramoto, Atsushi ; Fujita, Hiroshi. / A hybrid detection scheme of architectural distortion in mammograms using iris filter and Gabor filter. Breast Imaging - 13th International Workshop, IWDM 2016, Proceedings. editor / Kristina Lang ; Anders Tingberg ; Pontus Timberg. Springer Verlag, 2016. pp. 174-182 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "A hybrid detection scheme of architectural distortion in mammograms using iris filter and Gabor filter",

abstract = "Architectural distortion in mammograms is the most frequently missed finding among breast cancer findings, the improvement of detection accuracy in existing commercial CAD software remains a challenge. In this study, in order to improve the detection accuracy of architectural distortion in mammography, we propose a hybrid automatic detection method that combines with the enhancement method of the concentration of line structure and massive pattern. In the method, the detection of the concentration of the line structure is conducted by the adaptive Gabor filter, and the enhancement of the massive pattern is performed by the iris filter. The concentration index is calculated from these filtered images; the lesion candidate regions are obtained. As for false positive (FP) reduction, 15 shape features are calculated from the candidate regions. Then, they are given to the support vector machine; the candidate regions are classified either as true positive or FP. In the experiment, we compared the results of the proposed method and physician interpretation report using 200 images (63 architectural distortions) from a digital database of screening mammography. Experimental results indicate that our method may be effective to improve the performance of computer aided detection in mammography.",

author = "Mizuki Yamazaki and Atsushi Teramoto and Hiroshi Fujita",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 13th International Workshop on Breast Imaging, IWDM 2016 ; Conference date: 19-06-2016 Through 22-06-2016",

year = "2016",

doi = "10.1007/978-3-319-41546-8\_23",

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Yamazaki, M, Teramoto, A & Fujita, H 2016, A hybrid detection scheme of architectural distortion in mammograms using iris filter and Gabor filter. in K Lang, A Tingberg & P Timberg (eds), Breast Imaging - 13th International Workshop, IWDM 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9699, Springer Verlag, pp. 174-182, 13th International Workshop on Breast Imaging, IWDM 2016, Malmo, Sweden, 19-06-16. https://doi.org/10.1007/978-3-319-41546-8_23

A hybrid detection scheme of architectural distortion in mammograms using iris filter and Gabor filter. / Yamazaki, Mizuki; Teramoto, Atsushi; Fujita, Hiroshi.
Breast Imaging - 13th International Workshop, IWDM 2016, Proceedings. ed. / Kristina Lang; Anders Tingberg; Pontus Timberg. Springer Verlag, 2016. p. 174-182 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9699).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - A hybrid detection scheme of architectural distortion in mammograms using iris filter and Gabor filter

AU - Yamazaki, Mizuki

AU - Teramoto, Atsushi

AU - Fujita, Hiroshi

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2016.

PY - 2016

Y1 - 2016

N2 - Architectural distortion in mammograms is the most frequently missed finding among breast cancer findings, the improvement of detection accuracy in existing commercial CAD software remains a challenge. In this study, in order to improve the detection accuracy of architectural distortion in mammography, we propose a hybrid automatic detection method that combines with the enhancement method of the concentration of line structure and massive pattern. In the method, the detection of the concentration of the line structure is conducted by the adaptive Gabor filter, and the enhancement of the massive pattern is performed by the iris filter. The concentration index is calculated from these filtered images; the lesion candidate regions are obtained. As for false positive (FP) reduction, 15 shape features are calculated from the candidate regions. Then, they are given to the support vector machine; the candidate regions are classified either as true positive or FP. In the experiment, we compared the results of the proposed method and physician interpretation report using 200 images (63 architectural distortions) from a digital database of screening mammography. Experimental results indicate that our method may be effective to improve the performance of computer aided detection in mammography.

AB - Architectural distortion in mammograms is the most frequently missed finding among breast cancer findings, the improvement of detection accuracy in existing commercial CAD software remains a challenge. In this study, in order to improve the detection accuracy of architectural distortion in mammography, we propose a hybrid automatic detection method that combines with the enhancement method of the concentration of line structure and massive pattern. In the method, the detection of the concentration of the line structure is conducted by the adaptive Gabor filter, and the enhancement of the massive pattern is performed by the iris filter. The concentration index is calculated from these filtered images; the lesion candidate regions are obtained. As for false positive (FP) reduction, 15 shape features are calculated from the candidate regions. Then, they are given to the support vector machine; the candidate regions are classified either as true positive or FP. In the experiment, we compared the results of the proposed method and physician interpretation report using 200 images (63 architectural distortions) from a digital database of screening mammography. Experimental results indicate that our method may be effective to improve the performance of computer aided detection in mammography.

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DO - 10.1007/978-3-319-41546-8_23

M3 - Conference contribution

AN - SCOPUS:84977537412

SN - 9783319415451

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

SP - 174

EP - 182

BT - Breast Imaging - 13th International Workshop, IWDM 2016, Proceedings

A2 - Lang, Kristina

A2 - Tingberg, Anders

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PB - Springer Verlag

T2 - 13th International Workshop on Breast Imaging, IWDM 2016

Y2 - 19 June 2016 through 22 June 2016

ER -

Yamazaki M, Teramoto A, Fujita H. A hybrid detection scheme of architectural distortion in mammograms using iris filter and Gabor filter. In Lang K, Tingberg A, Timberg P, editors, Breast Imaging - 13th International Workshop, IWDM 2016, Proceedings. Springer Verlag. 2016. p. 174-182. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-41546-8_23

A hybrid detection scheme of architectural distortion in mammograms using iris filter and Gabor filter

Abstract

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