Early Breast Cancer Identification: Which Way to Go? Microarray or Image Based Computer Aided Diagnosis!

被引：0
|
作者：
Nahar, Jesmin
Tickle, Kevin S.
Ali, A. B. M. Shawkat
Chen, Yi-Ping Phoebe
机构：
来源：
NSS: 2009 3RD INTERNATIONAL CONFERENCE ON NETWORK AND SYSTEM SECURITY | 2009年
关键词：
Breast cancer; image; microarray; computer aided diagnostic; GENE-EXPRESSION; CLASSIFICATION;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The goal of this research is to develop a computer aided diagnostic (CAD) system that can detect breast cancer in the early stage by using microarray and image data. We verified the performance of six well known classification algorithms with various performance matrices. Although we do not suggest a unique classifier algorithm for a CAD system, we do identify a number of algorithms whose performance is very promising. The algorithms performance was validated by 3 images dataset; two have been used for the first time in this experiment. Multidimensional image filtering is adopted for the final data extraction. The image data classification performance is compared with microarray data. Results suggest the most effective means of breast cancer identification in the early stage is a hybrid approach.
引用
收藏
页码：456 / 461
页数：6
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