Tumor detection using digital mammography

Gary Preis; Ismail I. Jouny

doi:10.1117/12.445404

22 October 2001 Tumor detection using digital mammography

Gary Preis, Ismail I. Jouny

Proceedings Volume 4379, Automatic Target Recognition XI; (2001) https://doi.org/10.1117/12.445404
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States

Abstract

Algorithms for tumor detection in digital mammography are developed and tested using a large database of normal and abnormal images. These algorithms build on previous work ion digital mammography and involve using two basic schemes. Feature extraction using image re-mapping for histogram modification, wavelet decomposition, and estimating of pertinent statistical parameters. These features are then presented in different formats to a neural net-based detection system.

Citation Download Citation

Gary Preis and Ismail I. Jouny "Tumor detection using digital mammography", Proc. SPIE 4379, Automatic Target Recognition XI, (22 October 2001); https://doi.org/10.1117/12.445404

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