Scheduled System Maintenance:
On Monday, April 27th, IEEE Xplore will undergo scheduled maintenance from 1:00 PM - 3:00 PM ET (17:00 - 19:00 UTC). No interruption in service is anticipated.
By Topic

Malignant versus benign tumor classification based on ultrasonic B-scan images of the breast

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Alper Katay, M. ; TUBITAK - UEKAE, Ankara, Turkey ; Petropulu, A.P. ; Reid, J.M. ; Piccoli, K.

The Power-law Shot Noise (PLSN) model has been recently proposed for modeling the ultrasound RF echo. Its power-law exponent parameter, which was linked to tissue attenuation, has been effectively used in characterizing normal and abnormal tissue. The K-distribution model has also been proposed in the past for modeling the echo envelope, and functions of its parameters, linked to scatterer density, have been used to discriminate between normal and abnormal tissue. However, neither model produced satisfactory stand-alone features for differentiating between benign and malignant tumors. Observing PLSN and K parameters are linked to different tissue properties, we here propose to use vectors consisting of combinations of these parameters as signatures for malignant versus benign tissue characterization. We test the performance of the proposed features using receiver operating characteristic analysis of 100 clinical images of the breast

Published in:

Ultrasonics Symposium, 2000 IEEE  (Volume:2 )

Date of Conference:

Oct 2000