Medical image compression by using Vector Quantization Neural Network (VQNN)

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

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