Evaluation of Digital Mammography Display.
Abstract
During the first two years we have carried out experiments to evaluate adaptive histogram equalization and intensity windowing applied to mammograms. We found statistically significant improvement in detection of speculations with contrast limited adaptive histogram equalization processing, and found statistically significant improvement in detection of both calcification and masses with intensity windowing. We have also looked at intensity window selection methods based on types of tissue, namely dense breast. The purpose of this research is to experimentally determine the diagnostic accuracy and interpretation speed of digitally acquired mammograms displayed on the best available display methods.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 1996
- Accession Number
- ADA322218
Entities
People
- Etta Pisano
Organizations
- University of North Carolina at Chapel Hill