Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/26389
DC FieldValueLanguage
dc.contributor.authorKyriacou, Efthyvoulos-
dc.date.accessioned2022-03-24T08:36:46Z-
dc.date.available2022-03-24T08:36:46Z-
dc.date.issued2010-04-29-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/26389-
dc.description.abstractA method of classification of plaques using the gray level distribution of pixels in ultrasonic images of carotid plaques. The method and algorithm classifies plaques into 12 classes. Each class is associated with a different level of risk of developing symptoms.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.subjectultrasound imagingen_US
dc.subjectcarotid arteriesen_US
dc.subjectcarotid plaquesen_US
dc.titleCarotid Plaque Identification methoden_US
dc.typePatentsen_US
dc.linkhttps://patents.google.com/patent/US20100106022A1/en?oq=US+2010%2f0106022+A1en_US
dc.collaborationCyprus University of Technologyen_US
dc.subject.categoryComputer and Information Sciencesen_US
dc.subject.fieldMedical and Health Sciencesen_US
dc.contributor.inventorNicolaides, Andrew-
dc.contributor.inventorKyriacou, Efthyvoulos C.-
dc.identifier.applicationUS 2010/0106022 A1en_US
item.fulltextNo Fulltext-
item.cerifentitytypePatents-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_15cd-
item.openairetypepatent-
item.languageiso639-1en-
crisitem.author.deptDepartment of Electrical Engineering, Computer Engineering and Informatics-
crisitem.author.deptDepartment of Electrical Engineering, Computer Engineering and Informatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0002-4589-519X-
crisitem.author.orcid0000-0002-4589-519X-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.author.parentorgFaculty of Engineering and Technology-
Appears in Collections:Διπλώματα ευρεσιτεχνίας/ Patents
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