Computer-Aided Diagnosis of Digital Mammograms
Abstract
The long-term goal of our research is to develop computer-aided diagnosis (CAD) techniques to improve the detection and diagnosis of breast cancer. We have developed a computer technique that can classify breast calcifications in mammograms accurately, and this technique as a diagnostic aid has been shown to be able to improve radiologists' diagnostic accuracy. We have determined that Breast Imaging Report and Data System (BI- RADS) lesion descriptions provided by radiologists can be used as supplemental data to computer-extracted image features to improve the performance of computer classification of malignant and benign breast lesions. We have also found that our computer classification technique developed on screen-film mammograms, can achieve equally high performance on full-filed digital mammograms. This high performance is little affected by variability in the way in which radiologists indicate the general location of calcifications to the computer, which is designed as a means for the radiologist to query the computer aid. These results suggest that the computer technique has the potential to become a clinically useful and viable tool for diagnostic mammography.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 01, 2004
- Accession Number
- ADA431258
Entities
People
- Yulei Jiang
Organizations
- University of Chicago