Classification of Microcalcifications of the Diagnosis of Breast Cancer Using Artificial Neural Networks.
Abstract
Early detection of breast cancer depends on the accurate classification of microcalcifications. We have developed a computer vision system that can classify microcalcifications objectively and consistently to aid radiologists in the diagnosis of breast cancer. A convolution neural network (CNN) was employed to classify benign and malignant microcalcifications in the radiographs of pathological specimen that were digitized at a high resolution.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 1996
- Accession Number
- ADA326304
Entities
People
- Yuzheng C. Wu
Organizations
- Georgetown University