Mammographic Texture Analysis: An Evaluation Of Risk For Developing Breast Cancer

I. E. Magnin; F. Cluzeau; C. L. Odet; A. Bremond

doi:10.1117/12.7973905

1 June 1986 Mammographic Texture Analysis: An Evaluation Of Risk For Developing Breast Cancer

I. E. Magnin, F. Cluzeau, C. L. Odet, A. Bremond

Author Affiliations +

Optical Engineering, Vol. 25, Issue 6, 256780 (June 1986). https://doi.org/10.1117/12.7973905

Abstract

This paper deals with early and accurate breast cancer risk assessment for women. The use of texture analysis tools for the eventual development of an automatic system is proposed. In a first step, a standard procedure for obtaining x-ray mammograms is set up, the resulting radiographic images then being classified into four risk groups by a specialist. In a second step, specific and selected texture algorithms using both global and local statistical properties of the images are implemented. A number of x-ray mammograms have been studied. One of the resulting important observations is that it seems inappropriate to define a set of distinct classes of risk; rather, an increasing gravity degree correlated to a continuous evolution of the mammographic textures from the lowest to the highest degree of risk is to be preferred. Finally, a systematic comparison between the human classification and the numerical coefficients provided by the texture analysis is performed. The coefficients do not allow risk classification by themselves. A critical examination of these preliminary results leads us to a constructive discussion concerning the future developments of the proposed method.

Citation Download Citation

I. E. Magnin, F. Cluzeau, C. L. Odet, and A. Bremond "Mammographic Texture Analysis: An Evaluation Of Risk For Developing Breast Cancer," Optical Engineering 25(6), 256780 (1 June 1986). https://doi.org/10.1117/12.7973905

Published: 1 June 1986

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

Includes PDF, HTML & Video, when available