Improved detection of cancer in screening mammograms by temporal comparison

Fei Ma; Mariusz Bajger; Simon Williams; Murk J. Bottema

doi:10.1007/978-3-642-13666-5_101

Improved detection of cancer in screening mammograms by temporal comparison

Fei Ma^*
, Mariusz Bajger
, Simon Williams
, Murk J. Bottema

^*Corresponding author for this work

Flinders University

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

7 Citations (Scopus)

Abstract

A method is presented for including information from the preceeding mammogram in a scheme for automatically detecting malignant masses in screening mammograms. The method circumvents the inherent difficulty of registering temporal mammograms by replacing image registration by graph matching. The scheme incorporates a single image mass detection algorithm and so the contribution of the temporal analysis can be measured. At a true detection rate of 80 percent, the single image scheme results in 1.02 false positive detections per image while the temporal scheme results in 0.96 false positives. At 90 percent true detection, the false positive rates per image are 1.84 and 1.63 respectively.

Original language	English
Title of host publication	Digital Mammography - 10th International Workshop, IWDM 2010, Proceedings
Pages	752-759
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-642-13666-5_101
Publication status	Published - 2010
Externally published	Yes
Event	10th International Workshop on Digital Mammography, IWDM 2010 - Girona, Catalonia, Spain Duration: 16 Jun 2010 → 18 Jun 2010

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	6136 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	10th International Workshop on Digital Mammography, IWDM 2010
Country/Territory	Spain
City	Girona, Catalonia
Period	16/06/10 → 18/06/10

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

breast cancer
computer-aided mammography
graph matching
mass detection
temporal analysis

Access to Document

10.1007/978-3-642-13666-5_101

Cite this

Ma, F., Bajger, M., Williams, S., & Bottema, M. J. (2010). Improved detection of cancer in screening mammograms by temporal comparison. In Digital Mammography - 10th International Workshop, IWDM 2010, Proceedings (pp. 752-759). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6136 LNCS). https://doi.org/10.1007/978-3-642-13666-5_101

@inproceedings{0762dbf2369d44259270d869297c31a5,

title = "Improved detection of cancer in screening mammograms by temporal comparison",

abstract = "A method is presented for including information from the preceeding mammogram in a scheme for automatically detecting malignant masses in screening mammograms. The method circumvents the inherent difficulty of registering temporal mammograms by replacing image registration by graph matching. The scheme incorporates a single image mass detection algorithm and so the contribution of the temporal analysis can be measured. At a true detection rate of 80 percent, the single image scheme results in 1.02 false positive detections per image while the temporal scheme results in 0.96 false positives. At 90 percent true detection, the false positive rates per image are 1.84 and 1.63 respectively.",

keywords = "breast cancer, computer-aided mammography, graph matching, mass detection, temporal analysis",

author = "Fei Ma and Mariusz Bajger and Simon Williams and Bottema, \{Murk J.\}",

year = "2010",

doi = "10.1007/978-3-642-13666-5\_101",

language = "English",

isbn = "3642136656",

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

pages = "752--759",

booktitle = "Digital Mammography - 10th International Workshop, IWDM 2010, Proceedings",

note = "10th International Workshop on Digital Mammography, IWDM 2010 ; Conference date: 16-06-2010 Through 18-06-2010",

}

Ma, F, Bajger, M, Williams, S & Bottema, MJ 2010, Improved detection of cancer in screening mammograms by temporal comparison. in Digital Mammography - 10th International Workshop, IWDM 2010, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6136 LNCS, pp. 752-759, 10th International Workshop on Digital Mammography, IWDM 2010, Girona, Catalonia, Spain, 16/06/10. https://doi.org/10.1007/978-3-642-13666-5_101

Improved detection of cancer in screening mammograms by temporal comparison. / Ma, Fei; Bajger, Mariusz; Williams, Simon et al.
Digital Mammography - 10th International Workshop, IWDM 2010, Proceedings. 2010. p. 752-759 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6136 LNCS).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

TY - GEN

T1 - Improved detection of cancer in screening mammograms by temporal comparison

AU - Ma, Fei

AU - Bajger, Mariusz

AU - Williams, Simon

AU - Bottema, Murk J.

PY - 2010

Y1 - 2010

N2 - A method is presented for including information from the preceeding mammogram in a scheme for automatically detecting malignant masses in screening mammograms. The method circumvents the inherent difficulty of registering temporal mammograms by replacing image registration by graph matching. The scheme incorporates a single image mass detection algorithm and so the contribution of the temporal analysis can be measured. At a true detection rate of 80 percent, the single image scheme results in 1.02 false positive detections per image while the temporal scheme results in 0.96 false positives. At 90 percent true detection, the false positive rates per image are 1.84 and 1.63 respectively.

AB - A method is presented for including information from the preceeding mammogram in a scheme for automatically detecting malignant masses in screening mammograms. The method circumvents the inherent difficulty of registering temporal mammograms by replacing image registration by graph matching. The scheme incorporates a single image mass detection algorithm and so the contribution of the temporal analysis can be measured. At a true detection rate of 80 percent, the single image scheme results in 1.02 false positive detections per image while the temporal scheme results in 0.96 false positives. At 90 percent true detection, the false positive rates per image are 1.84 and 1.63 respectively.

KW - breast cancer

KW - computer-aided mammography

KW - graph matching

KW - mass detection

KW - temporal analysis

UR - https://www.scopus.com/pages/publications/77954625872

U2 - 10.1007/978-3-642-13666-5_101

DO - 10.1007/978-3-642-13666-5_101

M3 - Conference Proceeding

AN - SCOPUS:77954625872

SN - 3642136656

SN - 9783642136658

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

SP - 752

EP - 759

BT - Digital Mammography - 10th International Workshop, IWDM 2010, Proceedings

T2 - 10th International Workshop on Digital Mammography, IWDM 2010

Y2 - 16 June 2010 through 18 June 2010

ER -

Ma F, Bajger M, Williams S, Bottema MJ. Improved detection of cancer in screening mammograms by temporal comparison. In Digital Mammography - 10th International Workshop, IWDM 2010, Proceedings. 2010. p. 752-759. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-13666-5_101

Improved detection of cancer in screening mammograms by temporal comparison

Abstract

Publication series

Conference

UN SDGs

Keywords

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