Classification of Breast Masses in Mammogram Images using KNN

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dc.authoridHanbay, Davut/0000-0003-2271-7865
dc.authoridALPASLAN, Nuh/0000-0002-6828-755X
dc.authorwosidHanbay, Davut/AAG-8511-2019
dc.authorwosidALPASLAN, Nuh/B-2199-2018
dc.contributor.authorAlpaslan, Nuh
dc.contributor.authorKara, Asuman
dc.contributor.authorZencir, Busra
dc.contributor.authorHanbay, Davut
dc.date.accessioned2024-08-04T20:57:23Z
dc.date.available2024-08-04T20:57:23Z
dc.date.issued2015
dc.departmentİnönü Üniversitesien_US
dc.description23nd Signal Processing and Communications Applications Conference (SIU) -- MAY 16-19, 2015 -- Inonu Univ, Malatya, TURKEYen_US
dc.description.abstractBreast cancer is one of the most deadly diseases for women. Mammogram is very important imaging tecnique used diagnosis in early stages of breast cancer. In this study, a decision support system which helps experts to examine mammogram images in the fight against breast cancer is developed. In this study, firstly several preprocesses are applied to mammogram to make image clear and segmentation of mass is provided with an appropriate threshold value. After the segmentation processes, features of the tumor mass are obtained. The obtained features are classified as normal, benign or malignant using kNN (k-nearest neighbours) classifiers. In this study, its have been were shown that, effect of kurtosis, skewness and wavelet energy features on classification performance is shown. As a result, it has been seen that, these features improve the classification performance.en_US
dc.description.sponsorshipDept Comp Engn & Elect & Elect Engn,Elect & Elect Engn,Bilkent Univen_US
dc.identifier.endpage1472en_US
dc.identifier.isbn978-1-4673-7386-9
dc.identifier.issn2165-0608
dc.identifier.startpage1469en_US
dc.identifier.urihttps://hdl.handle.net/11616/102586
dc.identifier.wosWOS:000380500900348en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2015 23rd Signal Processing and Communications Applications Conference (Siu)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subject[No Keywords]en_US
dc.titleClassification of Breast Masses in Mammogram Images using KNNen_US
dc.typeConference Objecten_US

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