Computer aided diagnosis of calcifications in mammograms.
- Author:
Guoli LI
1
;
Hui LIU
;
Jian CHENG
Author Information
1. Department of Biomedical Engineering, Dalian University of Technology, Dalian 116024, China.
- Publication Type:Journal Article
- MeSH:
Breast Neoplasms;
diagnostic imaging;
pathology;
Calcinosis;
diagnostic imaging;
Diagnosis, Computer-Assisted;
methods;
Female;
Humans;
Mammography;
methods;
Radiographic Image Interpretation, Computer-Assisted;
methods
- From:
Journal of Biomedical Engineering
2011;28(1):170-174
- CountryChina
- Language:Chinese
-
Abstract:
Calcifications in mammograms are important signs of early breast cancer. Its accurate detection can provide an important basis for diagnosis and treatment of the breast cancer. As the rapid development of medical imaging technology, computer aided diagnosis (CAD) of calcifications by means of computers and artificial intelligence has improved the efficiency and accuracy of diagnosis. However, the secretive nature of calcifications reduce the credibility of diagnosis. Therefore, CAD techniques need to be improved. In this paper, the CAD of calcification and the national and international status of algorithms are described, and the problems in automatic detection and classification of calcifications are also summarized.
