Computer Analysis and Detection of Missed Cancer in Screening Mammogram
Annual summary rept. 24 Mar 2005-23 Mar 2006
H LEE MOFFITT CANCER CENTER AND RESEARCH INST TAMPA FL
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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 second-generation 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.
- Medicine and Medical Research
- Medical Facilities, Equipment and Supplies
- Computer Programming and Software