dc.contributor.author | Okur, Halil İbrahim | |
dc.contributor.author | Görgel, Pelin | |
dc.contributor.author | Sertbaş, Ahmet | |
dc.date.accessioned | 12.07.201910:50:10 | |
dc.date.accessioned | 2019-07-12T22:02:50Z | |
dc.date.available | 12.07.201910:50:10 | |
dc.date.available | 2019-07-12T22:02:50Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | Okur, H.İ., Gorgel, P., Sertbaş, A. (2018). Karma K-Ortalamaları Kümeleme ve Karınca Kolonisi Algoritmaları Kullanarak Dijital Mamogram Görüntüleri Üzerinde Bölütleme. EBBT 2018 (pp.1-4).
doi: 10.1109/EBBT.2018.8391422 | en_US |
dc.identifier.uri | https://doi.org/10.1109/EBBT.2018.8391422 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12508/475 | |
dc.description | 4th Electric Electronics, Computer Science, Biomedical Engineerings' Meeting, EBBT 2018 -- 18 April 2018 through 19 April 2018 -- -- 137380 | en_US |
dc.description.abstract | In this study, It was tried to do segmentation on digital mammography images in order to help expert or radiologist to find cancer region with computer aided. In addition to traditional segmentation methods, It was studied to find cancer region in digital mammography images with ant colony algorithm (ACO) and k-means clustering with using MIAS dataset. © 2018 IEEE. | en_US |
dc.language.iso | tur | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
dc.relation.isversionof | 10.1109/EBBT.2018.8391422 | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | ACO | en_US |
dc.subject | Karınca kolonisi algoritması | en_US |
dc.subject | K-ortalamalar kümeleme | en_US |
dc.subject | MIAS | en_US |
dc.subject | Görüntü bölütleme | en_US |
dc.subject | ACO | en_US |
dc.subject | Ant Colony Algorithm | en_US |
dc.subject | Image Segmentation | en_US |
dc.subject | K-Means Clustering | en_US |
dc.subject | MIAS Dataset | en_US |
dc.subject.classification | Boolean Function | Reduct | Reversible Logic | en_US |
dc.subject.other | Ant colony optimization | en_US |
dc.subject.other | Artificial intelligence | en_US |
dc.subject.other | Biomedical engineering | en_US |
dc.subject.other | Diseases | en_US |
dc.subject.other | Image segmentation | en_US |
dc.subject.other | Ant colony algorithms | en_US |
dc.subject.other | Computer aided | en_US |
dc.subject.other | Digital mammograms | en_US |
dc.subject.other | Digital mammography | en_US |
dc.subject.other | K - means clustering | en_US |
dc.subject.other | Segmentation methods | en_US |
dc.subject.other | Clustering algorithms | en_US |
dc.title | Karma K-Ortalamaları Kümeleme ve Karınca Kolonisi Algoritmaları Kullanarak Dijital Mamogram Görüntüleri Üzerinde Bölütleme | en_US |
dc.title.alternative | Segmentation On Digital Mammogram Images using Hibrid K-Mean Clustering and Ant Colony Algorithms | en_US |
dc.type | conferenceObject | en_US |
dc.relation.journal | 2018 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting, EBBT 2018 | en_US |
dc.contributor.department | Mühendislik ve Doğa Bilimleri Fakültesi -- Bilgisayar Mühendisliği Bölümü | en_US |
dc.identifier.startpage | 1 | en_US |
dc.identifier.endpage | 4 | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.contributor.isteauthor | Okur, Halil İbrahim | en_US |
dc.relation.index | Scopus | en_US |