Mass Detection and Classification in Breast Ultrasound Image Using K-means Clustering Algorithm

被引：0

作者：

Moldovanu, Simona ^{[1
]}

Moraru, Luminita ^{[1
]}

机构：

[1] Fac Sci, Galati, Romania

来源：

2010 3RD INTERNATIONAL SYMPOSIUM ON ELECTRICAL AND ELECTRONICS ENGINEERING (ISEEE) | 2010年

关键词：

Fractal dimension; k-mean algorithm;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This study highlights the connection between fractal dimension of small tumors of ultrasound breast and extraction knowledge from data using k-mean algorithm which provides the capability to discover new and meaningful information by using existing data. Fractal dimension was calculated by box count method which was applied on a breast ultrasound filtrated with five different filters. The study emphasizes the usefulness of fractal analysis and clustering fractal dimension in medicine.

引用

页码：197 / 200

页数：4

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