Detection of breast cancer using artificial neural networks (ANN)

Eltayeb, Toga Farag; Supervisor - Eltahir Mohamed Hussein

dc.contributor.author	Eltayeb, Toga Farag
dc.contributor.author	Supervisor - Eltahir Mohamed Hussein
dc.date.accessioned	2014-12-14T10:08:18Z
dc.date.available	2014-12-14T10:08:18Z
dc.date.issued	2014-06-10
dc.identifier.citation	Eltayeb,Toga Farag.Detection of breast cancer using artificial neural networks (ANN)/Toga Farag Eltayeb;Eltahir Mohamed Hussein.-khartoum:Sudan University of Science and Technology,College of Engineering,2014.-59p:ill;28cm.-M.Sc.	en_US
dc.identifier.uri	http://repository.sustech.edu/handle/123456789/8835
dc.description	thesis	en_US
dc.description.abstract	The aim of this project is to design and implement a Matlab based image processing software to extract features of breast cancer images in order to classify disease through neural network in order to examine system accuracy by comparing two techniques of neural networks, feed-forward and back-propagation neural networks. After simulation it was found that the feed forward neural network results are approximately same as the results of back propagation neural network, but from the accuracy side the feed forward neural network (94.11%) is better than the back propagation neural network (92%).	en_US
dc.description.sponsorship	Sudan University of Science and Technology	en_US
dc.language.iso	en	en_US
dc.publisher	Sudan University of Science and Technology	en_US
dc.subject	Detection of breast	en_US
dc.subject	Science in biomedical engineering By: Toga Farag Eltayeb Supervised by: Dr.Eltahir Mohamed Hussein June	en_US
dc.subject	neural networks	en_US
dc.subject	cancer using artificial	en_US
dc.title	Detection of breast cancer using artificial neural networks (ANN)	en_US
dc.title.alternative	تشخيص سرطان الثدي باستخدام الشبكات العصبية الاصطناعية	en_US
dc.type	Thesis	en_US