Advanced Methods for the Computer-Aided Diagnosis of Lesions in Digital Mammograms.
Abstract
The objective of the proposed research is to develop computer-aided diagnosis methods for use in mammography in order to increase the diagnostic accuracy of radiologists. Specifically we have developed advanced computerized schemes for the detection spiculated lesions and architectural distortions based on the calculation of the Hough spectrum and for the detection of small, low-contrast early cancers based on gradient and circularity filters. Also, computerized classification schemes for masses using artificial neural networks, rule-based methods, and hybrid systems have been developed. We also investigated a computerized method for including temporal change between mammographic examinations. The efficacy and efficiency of the CAD methods for mammography are being evaluated on a clinical workstation. The potential significance of this research project lies in the fact that if the detectability of cancers can be increased by employing a computer to aid the radiologist%s diagnosis, then the treatment of patients with cancer can be initiated earlier and their chance of survival improved.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 01, 1997
- Accession Number
- ADA328879
Entities
People
- Maryellen Lissak Giger
Organizations
- University of Chicago