| 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 |
