AN EFFICIENT ALGORITHM FOR AUTOMATIC TUMOR DETECTION IN CONTRAST ENHANCED BREAST MRI BY USING ARTIFICIAL NEURAL NETWORK (NEUBREA)

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dc.authorid0000-0002-8472-3331en_US
dc.contributor.authorBayram, Bulent
dc.contributor.authorKoca, Hilmi K.
dc.contributor.authorNarin, Burcu
dc.contributor.authorCavdaroglu, G. Cigdem
dc.contributor.authorCelik, Levent
dc.contributor.authorAcar, Ugur
dc.contributor.authorCubuk, Rahmi
dc.date.accessioned2024-07-12T21:52:26Z
dc.date.available2024-07-12T21:52:26Z
dc.date.issued2013en_US
dc.departmentMaltepe Üniversitesien_US
dc.description.abstractThe advances in image processing technology contribute to the interpretation of medical images and early diagnosis. Moreover various studies can be found in medical journals dedicated to Artificial Neural Networks (ANN). In the presented study, a method was developed to learn and detect benign and malignant tumor types in contrast-enhanced breast magnetic resonance images (MRI). The backpropagation algorithm was taken as the ANN learning algorithm. The algorithm (NEUBREA) was developed in C# programming language by using Fast Artificial Neural Network Library (FANN). Having been diagnosed by radiologists, 7 cases of malignant tumor, 8 cases of benign tumor, and 3 normal cases were used as a training set. The results were tested on 34 cases that had been diagnosed by radiologists. After the comparison of the results, the overall accuracy of algorithm was defined as 92%.en_US
dc.identifier.doi10.14311/NNW.2013.23.030
dc.identifier.endpage498en_US
dc.identifier.issn1210-0552
dc.identifier.issue5en_US
dc.identifier.scopus2-s2.0-84894520233en_US
dc.identifier.scopusqualityQ4en_US
dc.identifier.startpage483en_US
dc.identifier.urihttps://dx.doi.org/10.14311/NNW.2013.23.030
dc.identifier.urihttps://hdl.handle.net/20.500.12415/8367
dc.identifier.volume23en_US
dc.identifier.wosWOS:000328097600007en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.publisherACAD SCIENCES CZECH REPUBLIC, INST COMPUTER SCIENCEen_US
dc.relation.ispartofNEURAL NETWORK WORLDen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmzKY03090
dc.subjectComputer aided detectionen_US
dc.subjectmedical image processingen_US
dc.subjectbreast canceren_US
dc.subjectANNen_US
dc.titleAN EFFICIENT ALGORITHM FOR AUTOMATIC TUMOR DETECTION IN CONTRAST ENHANCED BREAST MRI BY USING ARTIFICIAL NEURAL NETWORK (NEUBREA)en_US
dc.typeArticle
dspace.entity.typePublication

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