Evaluation of breast cancer risk by using fuzzy logic

被引：0
|
作者：
Caramihai, M. [1 ]
Severin, I. [1 ]
Blidaru, A. [1 ]
Balan, H. [2 ]
Saptefrati, C. [2 ]
机构：
[1] Politehn Univ, Dept Automat Control & Syst Engn, Sp Independentei,313, Bucharest, Romania
[2] Univ Free State, Dept Med Phys, Bloemfontein, South Africa
来源：
NEW ASPECTS OF APPLIED INFORMATICS, BIOMEDICAL ELECTRONICS AND INFORMATICS AND COMMUNICATION | 2010年
关键词：
Breast Cancer; Fuzzy Techniques; Computer Aided Diagnostic; Risk evaluation; Lesion classification;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The decisional process of the best suited follow-up treatment for a breast cancer case is strongly connected to the correct diagnosis of the breast cancer risk. Though there are plenty of experienced doctors, top range imaginary devices and advanced radiological techniques, the methods and criteria to diagnose/quantify the detected lesion characteristics, to appreciate the breast cancer development stage and to finally conclude with a certified (most probable) risk diagnostic are still subjectively and poorly defined for most of the medical stuff. The present paper introduces a set of fuzzy rules that can process the relevant data of breast cancer cases in order to give a breast cancer risk prognostic factor qualitatively comparable to the one the expert gives.
引用
收藏
页码：37 / +
页数：3
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