Medical image compression by using vector quantization neural network (VQNN)

dc.contributor.author	Karlik, B.
dc.date.accessioned	2021-01-25T19:36:58Z
dc.date.available	2021-01-25T19:36:58Z
dc.date.issued	2006
dc.identifier.issn	1210-0552
dc.identifier.uri	https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/8398
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	ACAD SCIENCES CZECH REPUBLIC, INST COMPUTER SCIENCE
dc.title	Medical image compression by using vector quantization neural network (VQNN)
dc.type	Proceedings Paper
dc.relation.firstpage	341
dc.relation.lastpage	348
dc.relation.volume	16
dc.relation.issue	4
dc.description.woscategory	Computer Science, Artificial Intelligence
dc.description.wosresearcharea	Computer Science
dc.identifier.wosid	WOS:000240275800006
dc.identifier.ctitle	4th International Multiconference on Computer Science and Information Technology
dc.identifier.cdate	APR 05-06, 2006

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