Wavelets for computer-aided breast cancer diagnosis

Lemuel R. Myers Jr.; Catherine M. Kocur; Steven K. Rogers; Chris Eisenbies; Jeffrey W. Hoffmeister M.D.

doi:10.1117/12.205438

6 April 1995 Wavelets for computer-aided breast cancer diagnosis

Lemuel R. Myers Jr., Catherine M. Kocur, Steven K. Rogers, Chris Eisenbies, Jeffrey W. Hoffmeister M.D.

Proceedings Volume 2491, Wavelet Applications II; (1995) https://doi.org/10.1117/12.205438
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

Abstract

More than 50 million women over the age of 40 are currently at risk for breast cancer in the United States. Computer-aided diagnosis, used as a `second opinion' to radiologists, will aid in decreasing the number of false readings of mammograms. A novel feature extraction method is presented that provides increased classification power. Wavelets, previously only exploited for their segmentation benefits, are explored as features for classification. Daubechies₄, Daubechies₂₀, and biorthogonal wavelets are each investigated. Applied to 94 difficult-to- diagnose digitized microcalcification cases, performance is 74 percent correct classifications. Feature selection techniques are presented which further improve wavelet classification performance to 88 percent correct classification.

Citation Download Citation

Lemuel R. Myers Jr., Catherine M. Kocur, Steven K. Rogers, Chris Eisenbies, and Jeffrey W. Hoffmeister M.D. "Wavelets for computer-aided breast cancer diagnosis", Proc. SPIE 2491, Wavelet Applications II, (6 April 1995); https://doi.org/10.1117/12.205438

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