Diagnosis Of Ovarian Cancer Using Artificial Neural Network
 | International Journal of Computer Trends and Technology (IJCTT) |  |
| © - October Issue 2013 by IJCTT Journal | ||
| Volume-4 Issue-10 | ||
| Year of Publication : 2013 | ||
| Authors :B.Rosiline Jeetha , M.Malathi |
B.Rosiline Jeetha , M.Malathi"Diagnosis Of Ovarian Cancer Using Artificial Neural Network"International Journal of Computer Trends and Technology (IJCTT),V4(10):3601-3606 October Issue 2013 .ISSN 2231-2803.www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract:- Ovarian cancer arises from the ovary indicates growth of cancer. More than 91%) ovarian cancers are known as "epithelial" which start from the surface epithelium, the thin tissue forming the outer layer of a body’s surface and lining the alimentary canal and other hollow structures of the ovary. The intention of this study is to observe the performance of the ANN algorithm over Genetic Algorithm on the diagnosis of ovarian cancer using proven ovarian dataset fig 2. Ovarian cancer [2] accounts for the most caused cancer diagnoses among women. We propose a comparison between Genetic Algorithm and ANN[1] for preoperative guess of enmity in ovarian tumors. Most of the present methods do not meet the requirements which deal with the drawbacks like accuracy and noise. Gene ranking methods like T-Score, ANOVA, went for wrong prediction the rank when large database is applied. The typical ANN is proposed to form part of a trustworthy tool to distinguish between kind and unkind ovarian tambours. This may help doctors to fix on the applicable treatment for the patients.
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Keywords :— Gene Ranking, Trustworthy tool, ovarian tambours