Computer-Aided Characterization of Breast Masses on Volumetric Ultrasound Images: An Adjunct to Mammography
Abstract
The purpose of this project is to develop computer vision techniques for the analysis of sonographic images of breast masses, and to combine computerized sonographic and mammographic analyses. The techniques developed in this project are aimed at providing a second opinion to the radiologists in the task of making a biopsy recommendation. In the second year of the project, we have (1)compared the accuracy of the classifier designed in the first year of this project to that of experienced radiologists; (2) conducted studies the effect of the developed classifier on radiologists' characterization of breast masses on ultrasound images; and (3) investigated methods for combining computer classification methods based on ultrasound and mammogram images. Our results indicate that the accuracy of our computer classifier is similar to that of experienced breast radiologists on our data set. We have also shown that experienced radiologists can significantly (p<O.0O6) improve their mass characterization accuracy on sonograms when aided by our algorithm. Our results on combining computer classification methods based on ultrasound and mammogram images indicate that multi-modality computer-aided diagnosis may further improve the classification accuracy.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 01, 2003
- Accession Number
- ADA422556
Entities
People
- Berkman Sahiner
Organizations
- University of Michigan