Computerized Analysis of MR and Ultrasound Images of Breast Lesions
Abstract
We are developing methods for the classification of lesions in ultrasound and MR images of the breast. We are retrospectively collecting large datasets of ultrasound and MR images of the breast with solid pathology and radiologists ratings. These cases include malignant lesions, benign lesions, and complex cysts. We are developing noninvasive computerized methods for characterizing the lesions to yield an output related to the probability of malignancy. We plan to evaluate the efficacies of the new image analysis methods in the task of distinguishing between malignant and benign lesions. It is expected that the results from this research will aid radiologists in determining the likelihood of malignancy and in reducing the number of benign cases sent to biopsy.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 01, 1999
- Accession Number
- ADA384095
Entities
People
- Maryellen Lissak Giger
Organizations
- University of Chicago