Computer-aided diagnostic system using an improved fuzzy inference neural network

被引：0

作者：

Yanagiya, T ^{[1
]}

Amenomori, M ^{[1
]}

Sadamori, T ^{[1
]}

机构：

[1] Hitachi Software Engn, Kashimada, Kawassaki 111923, Japan

来源：

6TH WORLD MULTICONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL XII, PROCEEDINGS: INDUSTRIAL SYSTEMS AND ENGINEERING II | 2002年

关键词：

neural net; FINN; image processing; automatic diagnosis; medical technics;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A computer-aided diagnostic system used to find lunge cancer is devised. An improved fuzzy interference neural net (I-FINN) is proposed for this object, and it is used with several feature data which are extracted from cancer cell-images (hereafter cell mean cell-images) data. In this I-FINN, a membership function (MF) representing the criterion of diagnosis has been constructed as the result of integration of several MFs after learning. In this system, the correct answer rate for learned data is 100 %, and for other data is 84.4 %.

引用

页码：388 / 392

页数：5