Format

Send to:

Choose Destination
See comment in PubMed Commons below
Ultrasound Q. 2012 Sep;28(3):159-67. doi: 10.1097/RUQ.0b013e318262594a.

Fuzzy-based classification of breast lesions using ultrasound echography and elastography.

Author information

  • 1Department of Medical Electronics, College of Engineering, Anna University, Chennai, India. shirleycharlethenry@gmail.com

Abstract

Common breast lesions have different elasticity properties. Segmentation of contours of breast lesions from elastography and B mode images by incorporating variational level set method is involved in the proposed work. After segmentation, strain and shape features, such as differences in area, perimeter, and contour and width to height difference and solidity, as well as texture features like contrast, entropy, standard deviation, dissimilarity, homogeneity and energy, are estimated. A nonlinear fuzzy inference system is applied for classifying the breast lesions as benign cyst, benign solid mass, or malignant solid mass. Detection of malignant solid masses is our primary objective. A classification accuracy of 83% is obtained. One hundred percent sensitivity is reported. It can be concluded that the proposed fuzzy-based classification technique can be used as an aid for the automated detection of breast lesions.

PMID:
22902839
[PubMed - indexed for MEDLINE]
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for Lippincott Williams & Wilkins
    Loading ...
    Write to the Help Desk