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 language | English |
---|---|
Title of host publication | Proceedings of the International Conference on Image Processing, 1999 |
Pages | 182-186 |
Number of pages | 5 |
Volume | 2 |
DOIs | |
Publication status | Published - 1999 |
Event | 6th IEEE International Conference on Image Processing 1999 - Kobe, Japan Duration: 24 Oct 1999 → 28 Oct 1999 |
Conference
Conference | 6th IEEE International Conference on Image Processing 1999 |
---|---|
Abbreviated title | ICIP 1999 |
Country/Territory | Japan |
City | Kobe |
Period | 24/10/99 → 28/10/99 |