A microcalcification detection using adaptive contrast enhancement on wavelet transform and neural network

被引：7
|
作者：
Kang, HK [1 ]
Ro, YM [1 ]
Kim, SM [1 ]
机构：
[1] Informat & Commun Univ, Multimedia Grp, Taejon, South Korea
来源：
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS | 2006年 / E89D卷 / 03期
关键词：
mammography; CAD (computer-aided diagnosis);
D O I：
10.1093/ietisy/e89-d.3.1280
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Microcalcification detection is an important part of early breast cancer detection. In this paper, we propose a microcalcification detection algorithm using adaptive contrast enhancement in a mammography CAD (computer-aided diagnosis) system. The proposed microcalcification detection algorithm includes two parts. One is adaptive contrast enhancement in which the enhancement filtering parameters are determined based on noise characteristics of the mammogram. The other is a multi-stage microcalcification detection. The results show that the proposed microcalcification detection algorithm is much more robust against fluctuating noisy environments.
引用
收藏
页码：1280 / 1287
页数：8
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