Computerized Analysis and Detection of Missed Cancer in Screening Mammogram
Abstract
This project is to explore an innovative CAD strategy for improving early detection of breast cancer in screening mammograms by focusing on computerized analysis and detection of cancers missed by radiologists. The research in the second year is on (i) continuation of missed cancer analysis with a focus on density analysis and its effect on CAD detection; (ii) new CAD system design. The achievements include (1) A comprehensive analysis was taken on the effect of breast density on cancer detection. The accomplishments include breast dense tissue segmentation, correlation analysis of mammogram density features between missed and detected stages, statistical testing of density difference between normal and cancerous mammograms, baseline study of the effect of density on CAD detection performance using existing algorithm. (2) A new CAD system was designed based on the existing secondgeneration CAD algorithm and the missed cancer analysis. Due to the effective modification strategies taken in the new system, detection performance was improved for mammograms at both detected and missed stages. However, with the focus on missed cancer analysis and detection, a bigger improvement was obtained in detecting missed cases even though the general detection performance is still lower than that at detected stage.
Document Details
- Document Type
- Technical Report
- Publication Date
- Apr 01, 2005
- Accession Number
- ADA435062
Entities
People
- Lihua Li
Organizations
- University of South Florida