Computer Aided Breast Cancer Diagnosis.
Abstract
The long range goal of this project is to improve the accuracy and consistency of breast cancer diagnosis by developing a Computer Aided Diagnosis (CAD) system for early prediction of breast cancer from the patients' mammographic findings and medical history. In this progress period we have developed an ANN to predict biopsy outcome from mammographic and history findings. In the first year of the grant we have (l)published the preliminary data presented in the original proposal, (2)acquired 260 cases using the standardized BI-RADS reporting system and published this study, (3)conducted a small prospective study, (4)examined the inter- and intra- observer variability of the reporting lexicon, and (5)investigated reducing the number of active input features to the network and published this work. A related study was conducted to examine the sensitivity of the system to the techniques used for sampling the data. All of this work has been specifically directed toward the first specific aim of the proposal.
Document Details
- Document Type
- Technical Report
- Publication Date
- Feb 01, 1996
- Accession Number
- ADA307636
Entities
People
- Carey E. Floyd Jr.
Organizations
- Duke University Hospital