| dc.contributor.author | Tunali, Ilke | |
| dc.contributor.author | Kilic, Erdal | |
| dc.date.accessioned | 2020-06-21T14:16:35Z | |
| dc.date.available | 2020-06-21T14:16:35Z | |
| dc.date.issued | 2013 | |
| dc.identifier.isbn | 978-1-4673-5563-6; 978-1-4673-5562-9 | |
| dc.identifier.issn | 2165-0608 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12712/16074 | |
| dc.description | 21st Signal Processing and Communications Applications Conference (SIU) -- APR 24-26, 2013 -- CYPRUS | en_US |
| dc.description | WOS: 000325005300062 | en_US |
| dc.description.abstract | In this paper segmentation of benign and malignant masses found on mammograms were segmented. After adding low valued pixels outside of mammogram, Chan-Vese active contour algorithm with a new stopping criteria was implemented. As a result, lacking segmentation was prevented. Experiments were made on 60 mammograms which had masses with different shape, size and visibility taken from Digital Database for Screening Mammography(DDSM). Proposed method had a Area Overlap Ratio of % 75.1. | en_US |
| dc.language.iso | tur | en_US |
| dc.publisher | Ieee | en_US |
| dc.relation.ispartofseries | Signal Processing and Communications Applications Conference | |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Mass segmentation | en_US |
| dc.subject | mammogram | en_US |
| dc.subject | active contours | en_US |
| dc.title | Mass Segmantation on Mammograms Using Active Contours | en_US |
| dc.type | conferenceObject | en_US |
| dc.contributor.department | OMÜ | en_US |
| dc.relation.journal | 2013 21St Signal Processing and Communications Applications Conference (Siu) | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
