Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/8835
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dc.contributor.authorEltayeb, Toga Farag
dc.contributor.authorSupervisor - Eltahir Mohamed Hussein
dc.date.accessioned2014-12-14T10:08:18Z
dc.date.available2014-12-14T10:08:18Z
dc.date.issued2014-06-10
dc.identifier.citationEltayeb,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.urihttp://repository.sustech.edu/handle/123456789/8835
dc.descriptionthesisen_US
dc.description.abstractThe 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.sponsorshipSudan University of Science and Technologyen_US
dc.language.isoenen_US
dc.publisherSudan University of Science and Technologyen_US
dc.subjectDetection of breasten_US
dc.subjectScience in biomedical engineering By: Toga Farag Eltayeb Supervised by: Dr.Eltahir Mohamed Hussein Juneen_US
dc.subjectneural networksen_US
dc.subjectcancer using artificialen_US
dc.titleDetection of breast cancer using artificial neural networks (ANN)en_US
dc.title.alternativeتشخيص سرطان الثدي باستخدام الشبكات العصبية الاصطناعيةen_US
dc.typeThesisen_US
Appears in Collections:Masters Dissertations : Engineering

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