Statistical models for the detection of abnormalities in digital mammography

B. Calder; S. Clarke; L. Linnett; D. Carmichael

Statistical models for the detection of abnormalities in digital mammography

B. Calder
, S. Clarke
, L. Linnett
, D. Carmichael

Research output: Contribution to journal › Article › peer-review

Abstract

Statistical methods have been used for the detection of abnormalities in X-ray mammograms. Two types of abnormalities were analyzed in the study. These are microcalcification clusters and masses, both of which are possible indicators of breast cancer. Two data sets were used for the analysis. First is a CIRS phantom image containing clusters of microcalcifications in a range of sizes, and the second is a set of digitized film mammograms depicting both masses and microcalcifications.

Original language	English
Pages (from-to)	6/1-6/6
Journal	IEE Colloquium (Digest)
Issue number	72
Publication status	Published - 1996
Event	Proceedings of the 1996 IEE Colloquium on Digital Mammography - London, UK Duration: 27 Mar 1996 → 27 Mar 1996

UN SDGs

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

SDG 3 Good Health and Well-being

Cite this

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title = "Statistical models for the detection of abnormalities in digital mammography",

abstract = "Statistical methods have been used for the detection of abnormalities in X-ray mammograms. Two types of abnormalities were analyzed in the study. These are microcalcification clusters and masses, both of which are possible indicators of breast cancer. Two data sets were used for the analysis. First is a CIRS phantom image containing clusters of microcalcifications in a range of sizes, and the second is a set of digitized film mammograms depicting both masses and microcalcifications.",

author = "B. Calder and S. Clarke and L. Linnett and D. Carmichael",

year = "1996",

language = "English",

pages = "6/1--6/6",

journal = "IEE Colloquium (Digest)",

publisher = "Institute of Electrical Engineers",

number = "72",

note = "Proceedings of the 1996 IEE Colloquium on Digital Mammography ; Conference date: 27-03-1996 Through 27-03-1996",

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TY - JOUR

T1 - Statistical models for the detection of abnormalities in digital mammography

AU - Calder, B.

AU - Clarke, S.

AU - Linnett, L.

AU - Carmichael, D.

PY - 1996

Y1 - 1996

N2 - Statistical methods have been used for the detection of abnormalities in X-ray mammograms. Two types of abnormalities were analyzed in the study. These are microcalcification clusters and masses, both of which are possible indicators of breast cancer. Two data sets were used for the analysis. First is a CIRS phantom image containing clusters of microcalcifications in a range of sizes, and the second is a set of digitized film mammograms depicting both masses and microcalcifications.

AB - Statistical methods have been used for the detection of abnormalities in X-ray mammograms. Two types of abnormalities were analyzed in the study. These are microcalcification clusters and masses, both of which are possible indicators of breast cancer. Two data sets were used for the analysis. First is a CIRS phantom image containing clusters of microcalcifications in a range of sizes, and the second is a set of digitized film mammograms depicting both masses and microcalcifications.

UR - https://www.scopus.com/pages/publications/6244242566

M3 - Article

SP - 6/1-6/6

JO - IEE Colloquium (Digest)

JF - IEE Colloquium (Digest)

IS - 72

T2 - Proceedings of the 1996 IEE Colloquium on Digital Mammography

Y2 - 27 March 1996 through 27 March 1996

ER -

Statistical models for the detection of abnormalities in digital mammography

Abstract

UN SDGs

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