An algorithm for detection and segmentation of clustered microcalcifications on mammograms

C. S. Lo, P. C. Chung, B. C. Hsu, C. I. Chang, Kan Lee San Kan Lee, P. S. Liao

研究成果: Article


A reliable breast cancer diagnosis often depends upon an effective mammography screening program. In this paper, a three-stage procedure for enhancement, detection and segmentation of clustered microcalcifications is proposed. The first stage is to enhance the image, separate calcifications from the background tissue and normalize the whole image. In second stage, the spots of clustered microcalcifications are detected, from where we can determine the ROI. Then, in the third stage, clustered microcalcifications are segmented from the ROI. A great number of biopsy-proved mammograms are tested based on killed radiologists. The results show a promising potential of diagnosis on mammograms.

頁(從 - 到)149-153
期刊Biomedical Engineering - Applications, Basis and Communications
出版狀態Published - 1997 十月 10


All Science Journal Classification (ASJC) codes

  • Biophysics
  • Bioengineering
  • Biomedical Engineering