Detection of cancerous changes in mammograms using intensity and texture measures

Nenad S. Vujovic; Dragana P. Brzakovic; Kevin Fogarty

doi:10.1117/12.208754

12 May 1995 Detection of cancerous changes in mammograms using intensity and texture measures

Nenad S. Vujovic, Dragana P. Brzakovic, Kevin Fogarty

Author Affiliations +

Proceedings Volume 2434, Medical Imaging 1995: Image Processing; (1995) https://doi.org/10.1117/12.208754
Event: Medical Imaging 1995, 1995, San Diego, CA, United States

Abstract

This paper describes an approach to mammogram analysis which detects suspicious regions in mammograms by comparing newly acquired mammograms with previous screenings of the same patient. Utilization of multiple screenings is motivated by the desire to reduce false positives and to increase sensitivity to true positives. Because of intractability of mammogram registration at the pixel level we propose a strategy for comparing mammograms regionally while taking into account differences normally expected between two images. In the proposed method mammograms are compared in three steps. First, mammograms are put into correspondence by using internal control points. Next, the images are partitioned into statistically homogeneous regions. Finally, the regions are compared by using intensity and texture measures and particular differences are labeled suspicious. This work concentrates on the issues of mammogram correspondence and region comparison.

Citation Download Citation

Nenad S. Vujovic, Dragana P. Brzakovic, and Kevin Fogarty "Detection of cancerous changes in mammograms using intensity and texture measures", Proc. SPIE 2434, Medical Imaging 1995: Image Processing, (12 May 1995); https://doi.org/10.1117/12.208754

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE