| dc.contributor.author | Karhan, Zehra | |
| dc.contributor.author | Ergen, Burhan | |
| dc.date.accessioned | 2020-06-21T13:51:04Z | |
| dc.date.available | 2020-06-21T13:51:04Z | |
| dc.date.issued | 2015 | |
| dc.identifier.isbn | 978-1-4673-7386-9 | |
| dc.identifier.issn | 2165-0608 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12712/14571 | |
| dc.description | 23nd Signal Processing and Communications Applications Conference (SIU) -- MAY 16-19, 2015 -- Inonu Univ, Malatya, TURKEY | en_US |
| dc.description | karhan, zehra/0000-0002-2863-9119 | en_US |
| dc.description | WOS: 000380500900342 | en_US |
| dc.description.abstract | In this study, we aimed to determine whether the medical image belongs to that class or not, using the textural features of medical images. The study was performed on the images in IRMA (Image Retrieval in Medical Applications), the international database. After performing pre process on the our current medical images, discrete wavelet transform (DWT) was applied and then discrete cosine transform (DCT) was applied to each band components. After feature extraction, using of 1%, 3%, 5% and 7% of the obtained data were classified. K-Nearest neighbor algorithm (KNN) was used in the classification phase. The classificaiton performance was around 87%. | en_US |
| dc.description.sponsorship | Dept Comp Engn & Elect & Elect Engn, Elect & Elect Engn, Bilkent Univ | 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 | Medical image classification | en_US |
| dc.subject | Discrete wavelet transform (DWT) | en_US |
| dc.subject | Discrete cosine transform (DCT) | en_US |
| dc.subject | K-nearest neighbor algorithm | en_US |
| dc.title | Content Based Medical Image Classification Using Discrete Wavelet and Cosine Transforms | en_US |
| dc.type | conferenceObject | en_US |
| dc.contributor.department | OMÜ | en_US |
| dc.identifier.startpage | 1445 | en_US |
| dc.identifier.endpage | 1448 | en_US |
| dc.relation.journal | 2015 23Rd Signal Processing and Communications Applications Conference (Siu) | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
