Advanced ROI coding techniques for medical imaging

dc.creator	Doukas, C.	en
dc.creator	Maglogiannis, I.	en
dc.date.accessioned	2015-11-23T10:25:51Z
dc.date.available	2015-11-23T10:25:51Z
dc.date.issued	2009
dc.identifier	10.4018/978-1-60566-314-2.ch029
dc.identifier.isbn	9781605663142
dc.identifier.uri	http://hdl.handle.net/11615/27176
dc.description.abstract	Medical images are often characterized by high complexity and consist of high resolution image files, introducing thus several issues regarding their handling. Current compression schemes produce high compression rates, sacrificing however the image quality and leading this way to unenviable examination. Region of Interest (ROI) coding has been introduced as an efficient technique for addressing such issues, by performing advanced image compression and preserving quality in diagnostically critical regions. This chapter discusses the basic ROI approaches and provides an overview of state of the art ROI coding techniques for medical images along with corresponding results. © 2009, IGI Global.	en
dc.source	Handbook of Research on Advanced Techniques in Diagnostic Imaging and Biomedical Applications	en
dc.source.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-84870896636&partnerID=40&md5=46d4ad4a211a0379ac215dfdb8edc92e
dc.title	Advanced ROI coding techniques for medical imaging	en
dc.type	bookChapter	en

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