Automatic Detection Algorithm Based on LVQ Neural Network for Micro-calcification Clusters

被引：2
作者：
Kong, Ying [1 ]
Lu, Hui-Juan [2 ]
机构：
[1] Zhejiang Univ Sci & Technol, Sch Informat & Elect Engn, Hangzhou 310023, Zhejiang, Peoples R China
[2] China Jiliang Univ, Coll Informat Engn, Hangzhou, Zhejiang, Peoples R China
来源：
HUMAN CENTERED COMPUTING, HCC 2014 | 2015年 / 8944卷
关键词：
Micro-calcification clusters classification; LVQ Neural Network; Tumor pattern;
D O I：
10.1007/978-3-319-15554-8_47
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Given that the micro-calcification clusters in early breast cancer X-ray pictures are minimal and irregular with differentiated shapes and distributions as well as the unsatisfactorily low contrast ratio, micro-calcification clusters of small sizes and the unsatisfactorily low contrast ratio tend to be easily ignored or misdiagnosed by doctors. This paper applies the LVQ Neural Network to classify micro-calcification clusters as malignant or benign in digitized mammograms based on feature extraction of statistical methods. The result shows the method of LVQ Neural Network is simpler and effective.
引用
收藏
页码：573 / 583
页数：11
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