Mathematics in medical image analysis: a focus on mammography

Murk Bottema; Mariusz Bajger; Fei Ma; Simon Williams

Mathematics in medical image analysis: a focus on mammography

Murk Bottema
, Mariusz Bajger
, Fei Ma
, Simon Williams

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

Abstract

Abstract. Automatic detection of breast cancer in screening mammograms is an example of an image analysis task that draws on a wide range of mathematical notions to understand the issues and address diffculties. The criteria for optimality of solutions are generally too complex to allow analytic proofs of best practice but the vast repertoire of mathematical structures and methodology provides the arsenal to move forward. This paper presents a sample of image analysis methods that have been used in attempts to improve early detection of breast cancer.

Original language	English
Title of host publication	Proceedings of the 6th SEAMS-GMU International conference on mathematics and its applications
Subtitle of host publication	Mathematics and its applications in the development of sciences and technology
Editors	Sri Wahyuni
Place of Publication	9789791797931
Publisher	Gadjah Mada University
Pages	51-64
Number of pages	16
Publication status	Published - 2012
Event	Mathematics and Its Applications in the Development of Sciences and Technology - Gadjah Mada University, Yogyakarta, Indonesia Duration: 12 Jul 2011 → 15 Jul 2011 Conference number: 6th

Conference

Conference	Mathematics and Its Applications in the Development of Sciences and Technology
Country/Territory	Indonesia
City	Yogyakarta
Period	12/07/11 → 15/07/11

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

image analysis
Screening mammography
Computer-aided detection
Breast cancer

Cite this

@inproceedings{fd336cf3c0fb452796006e91568f23d6,

title = "Mathematics in medical image analysis: a focus on mammography",

abstract = "Abstract. Automatic detection of breast cancer in screening mammograms is an example of an image analysis task that draws on a wide range of mathematical notions to understand the issues and address diffculties. The criteria for optimality of solutions are generally too complex to allow analytic proofs of best practice but the vast repertoire of mathematical structures and methodology provides the arsenal to move forward. This paper presents a sample of image analysis methods that have been used in attempts to improve early detection of breast cancer.",

keywords = "image analysis, Screening mammography, Computer-aided detection, Breast cancer",

author = "Murk Bottema and Mariusz Bajger and Fei Ma and Simon Williams",

year = "2012",

language = "English",

pages = "51--64",

editor = "Sri Wahyuni",

booktitle = "Proceedings of the 6th SEAMS-GMU International conference on mathematics and its applications",

publisher = "Gadjah Mada University",

address = "Indonesia",

note = "Mathematics and Its Applications in the Development of Sciences and Technology ; Conference date: 12-07-2011 Through 15-07-2011",

}

Bottema, M , Bajger, M, Ma, F & Williams, S 2012, Mathematics in medical image analysis: a focus on mammography. in S Wahyuni (ed.), Proceedings of the 6th SEAMS-GMU International conference on mathematics and its applications: Mathematics and its applications in the development of sciences and technology. Gadjah Mada University, 9789791797931, pp. 51-64, Mathematics and Its Applications in the Development of Sciences and Technology, Yogyakarta, Indonesia, 12/07/11.

Mathematics in medical image analysis: a focus on mammography. / Bottema, Murk ; Bajger, Mariusz; Ma, Fei et al.
Proceedings of the 6th SEAMS-GMU International conference on mathematics and its applications: Mathematics and its applications in the development of sciences and technology. ed. / Sri Wahyuni. 9789791797931: Gadjah Mada University, 2012. p. 51-64.

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

TY - GEN

T1 - Mathematics in medical image analysis

T2 - Mathematics and Its Applications in the Development of Sciences and Technology

AU - Bottema, Murk

AU - Bajger, Mariusz

AU - Ma, Fei

AU - Williams, Simon

N1 - Conference code: 6th

PY - 2012

Y1 - 2012

N2 - Abstract. Automatic detection of breast cancer in screening mammograms is an example of an image analysis task that draws on a wide range of mathematical notions to understand the issues and address diffculties. The criteria for optimality of solutions are generally too complex to allow analytic proofs of best practice but the vast repertoire of mathematical structures and methodology provides the arsenal to move forward. This paper presents a sample of image analysis methods that have been used in attempts to improve early detection of breast cancer.

AB - Abstract. Automatic detection of breast cancer in screening mammograms is an example of an image analysis task that draws on a wide range of mathematical notions to understand the issues and address diffculties. The criteria for optimality of solutions are generally too complex to allow analytic proofs of best practice but the vast repertoire of mathematical structures and methodology provides the arsenal to move forward. This paper presents a sample of image analysis methods that have been used in attempts to improve early detection of breast cancer.

KW - image analysis

KW - Screening mammography

KW - Computer-aided detection

KW - Breast cancer

M3 - Conference contribution

SP - 51

EP - 64

BT - Proceedings of the 6th SEAMS-GMU International conference on mathematics and its applications

A2 - Wahyuni, Sri

PB - Gadjah Mada University

CY - 9789791797931

Y2 - 12 July 2011 through 15 July 2011

ER -

Mathematics in medical image analysis: a focus on mammography

Abstract

Conference

UN SDGs

Keywords

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