A Fuzzy Inference System Design for Computer Aided Mass Detection in Digital Mammogram Images

被引：0

作者：

Goreke, Volkan ^{[1
]}

Uzunhisarcikli, Esma ^{[2
]}

Oztoprak, Bilge ^{[3
]}

机构：

[1] Cumhuriyet Univ, Sivas Meslek Yuksek Okulu Bilgisayar, Teknolojileri Bolumu, Sivas, Turkey

[2] Erciyes Univ Biyomed Muhendisligi, Melikgazi Kayseri, Turkey

[3] Cumhuriyet Univ, Tip Fak, Radyoloji Anabilim Dali, Sivas, Turkey

来源：

2015 MEDICAL TECHNOLOGIES NATIONAL CONFERENCE (TIPTEKNO) | 2015年

关键词：

fuzzy inference; image processing; MAMDANI;

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：

Breast cancer is the most common cancer in women. A mammogram is an X-ray of the breast, using very low levels of radiation. Artificial intelligence and fuzzy inference techniques can be used in CAD systems. These systems generally have main phases that the their names are image processing, and classification. In this study, we used images of mammogram that were obtained MIAS database. The fuzzy inference system was designed using image processing tecniques and statical features. The system was tested and for sensitivity and specificity respectively, % 98 and % 99 was found. This study gave better results than our earlier studies using artificial neural network that have % 96 sensivity and % 96 specifity.

引用

页数：4

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