Study of mass segmentation algorithm for digital mammograms.
- Author:
Lei CHEN
1
;
Kai ZHANG
;
Zhencheng JIN
Author Information
1. College of Physics Science Technology, Yangzhou University, Yangzhou 225002, China. chenlei@yzu.edu.cn
- Publication Type:Journal Article
- MeSH:
Algorithms;
Breast Neoplasms;
diagnostic imaging;
Diagnosis, Computer-Assisted;
Female;
Humans;
Image Interpretation, Computer-Assisted;
methods;
Image Processing, Computer-Assisted;
Mammography;
methods;
Pattern Recognition, Automated;
methods;
Radiographic Image Enhancement;
methods
- From:
Journal of Biomedical Engineering
2008;25(6):1282-1284
- CountryChina
- Language:Chinese
-
Abstract:
The shape characteristics of breast mass in digital mammograms are important clues in discriminating malignant and benign tumors. To provide more valuable information from the breast mass for radiologist, an enhanced mass segment method is presented. A new region growing with some parameters can be used to segment the mass region effectively. Moreover, the feature of the mass edge is well kept.
