Neural Network Techniques for Cancer Prediction: A Survey

被引：41

作者：

Agrawal, Shikha ^{[1
]}

Agrawal, Jitendra ^{[1
]}

机构：

[1] Rajiv Gandhi Proudyogiki Vishwavidyalaya, Dept Comp Sci & Engn, Bhopal, India

来源：

KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS 19TH ANNUAL CONFERENCE, KES-2015 | 2015年 / 60卷

关键词：

Artificial Neural Network; Cancer Prediction; Classification; OPTIMIZATION;

D O I：

10.1016/j.procs.2015.08.234

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Cancer is a dreadful disease. Millions of people died every year because of this disease. It is very essential for medical practitioners to opt a proper treatment for cancer patients. Therefore cancer cells should be identified correctly. Neural networks are currently a burning research area in medical science, especially in the areas of cardiology, radiology, oncology, urology and etc. In this paper, we are surveying various neural network technologies for classification of cancer. The main aim of this survey in medical diagnostics is to guide researchers to develop most cost effective and user friendly systems, processes and approaches for clinicians. (C) 2015 The Authors. Published by Elsevier B.V.

引用

页码：769 / 774

页数：6

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