Patterns Analysis In Mammography Images Using A Wavelet Transform And Neural Networks

被引：0

作者：

Ponomaryov, Volodymyr ^{[1
]}

Juarez-Landin, Cristina ^{[1
]}

Sanchez-Ramirez, Jose Luis ^{[1
]}

Nino-de-Rivera, Luis ^{[1
]}

机构：

[1] SEPI ESIME Culhuacan Natl Polytech Inst, Mexico City, DF, Mexico

来源：

ANALYSIS OF BIOMEDICAL SIGNALS AND IMAGES | 2008年

关键词：

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

In this work we present a method for masses and microcalcifications classification in the mammography images. The procedure consists of applying Wavelet Transform, regions segmentation and multilayer neural network type classifiers. The experimental results have shown the advantages of the proposed method. There are used images of the MIAS database with characterization of patterns that permits to prove the efficiency of the proposed method.

引用

页码：304 / 307

页数：4

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