Model based approach to object detection in digital mammography

Steven Morrison, Laurie M. Linnett

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

Breast cancer has the highest incidence level of any cancer among women living in developed countries. Early detection of masses, and microcalcification clusters, is presently the best means whereby breast cancer mortality rates may be reduced. To this end, high resolution digital mammograms, generally at the 50 µm resolution, are used with a view to automatically detecting any potential anomalies. This paper presents an original technique for the detection of such microcalcifications. This is done by specifying a parametric model, and using this to gain estimates of object positions and sizes directly.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Image Processing, 1999
Pages182-186
Number of pages5
Volume2
DOIs
Publication statusPublished - 1999
Event6th IEEE International Conference on Image Processing 1999 - Kobe, Japan
Duration: 24 Oct 199928 Oct 1999

Conference

Conference6th IEEE International Conference on Image Processing 1999
Abbreviated titleICIP 1999
CountryJapan
CityKobe
Period24/10/9928/10/99

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