dc.contributor.author | Karlik, B. | |
dc.date.accessioned | 2021-01-25T20:52:15Z | |
dc.date.available | 2021-01-25T20:52:15Z | |
dc.date.issued | 2006 | |
dc.identifier.issn | 12100552 | |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-33749004546&partnerID=40&md5=ee733879826143679e24438fc634b1d2 | |
dc.identifier.uri | https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/10773 | |
dc.description.abstract | This paper presents a lossy compression scheme for biomedical images by using a new method. Image data compression using Vector Quantization (VQ) has received a lot of attention because of its simplicity and adaptability. VQ requires the input image to be | |
dc.language.iso | English | |
dc.publisher | Neural Network World | |
dc.title | Medical image compression by using Vector Quantization Neural Network (VQNN) | |
dc.type | Article | |
dc.relation.firstpage | 341 | |
dc.relation.lastpage | 348 | |
dc.relation.volume | 16 | |
dc.relation.issue | 4 | |
dc.description.affiliations | Yasar University, Department of Computer Eng., Izmir, Turkey | |