Automatic detection of clustered microcalcifications in digital mammograms based on wavelet features and neural network classification

Songyang Yu; Ling Guan; Stephen Brown

doi:10.1117/12.310887

24 June 1998 Automatic detection of clustered microcalcifications in digital mammograms based on wavelet features and neural network classification

Songyang Yu, Ling Guan, Stephen Brown

Author Affiliations +

Proceedings Volume 3338, Medical Imaging 1998: Image Processing; (1998) https://doi.org/10.1117/12.310887
Event: Medical Imaging '98, 1998, San Diego, CA, United States

Abstract

The appearance of clustered microcalcifications in mammogram films is one of the important early signs of breast cancer. This paper presents a new image processing system for the automatic detection of clustered microcalcifications in digitized mammogram films. The detection method uses wavelet features and feed forward neural network to find possible microcalcifications pixels and a set of features to locate individual microcalcifications.

Citation Download Citation

Songyang Yu, Ling Guan, and Stephen Brown "Automatic detection of clustered microcalcifications in digital mammograms based on wavelet features and neural network classification", Proc. SPIE 3338, Medical Imaging 1998: Image Processing, (24 June 1998); https://doi.org/10.1117/12.310887

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