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The promise of big data technologies and challenges for image and video analytics in healthcare

dc.contributor.authorPanayides, Andreas S.en
dc.contributor.authorPattichis, Constantinos S.en
dc.contributor.authorPattichis, Marios S.en
dc.contributor.editorMatthews M.B.en
dc.creatorPanayides, Andreas S.en
dc.creatorPattichis, Constantinos S.en
dc.creatorPattichis, Marios S.en
dc.date.accessioned2019-11-13T10:41:38Z
dc.date.available2019-11-13T10:41:38Z
dc.date.issued2017
dc.identifier.isbn978-1-5386-3954-2
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/54692
dc.description.abstractThere is a growing need for developing fast and scalable methods for storing and processing large databases of healthcare images and videos. The paper reviews current medical image analysis techniques and the recent emergence, promise, and challenges associated with large scale video analysis methods. Furthermore, the paper describes large-scale video processing paradigms and provides a summary of recently published methods. © 2016 IEEE.en
dc.publisherIEEE Computer Societyen
dc.sourceConference Record - Asilomar Conference on Signals, Systems and Computersen
dc.source50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016en
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85016269926&doi=10.1109%2fACSSC.2016.7869579&partnerID=40&md5=a87af00e4738917a35137723e2848104
dc.subjectVideo signal processingen
dc.subjectScalabilityen
dc.subjectImage analysisen
dc.subjectMedical imagingen
dc.subjectImage processingen
dc.subjectHealth careen
dc.subjectMedical videoen
dc.subjectbig dataen
dc.subjectbig health dataen
dc.subjectData technologiesen
dc.subjectHealth dataen
dc.subjectMap-reduceen
dc.subjectMapReduceen
dc.subjectmedical image and video analysisen
dc.subjectmedical video databasesen
dc.subjectmedical video processingen
dc.subjectScalable methodsen
dc.subjectVideo analysisen
dc.subjectVideo analyticsen
dc.subjectVideo processingen
dc.titleThe promise of big data technologies and challenges for image and video analytics in healthcareen
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.identifier.doi10.1109/ACSSC.2016.7869579
dc.description.startingpage1278
dc.description.endingpage1282
dc.author.faculty002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeConference Objecten
dc.description.notes<p>Sponsors:en
dc.description.notesConference code: 126751</p>en
dc.contributor.orcidPattichis, Constantinos S. [0000-0003-1271-8151]
dc.contributor.orcidPattichis, Marios S. [0000-0002-1574-1827]
dc.contributor.orcidPanayides, Andreas S. [0000-0001-9829-7946]
dc.gnosis.orcid0000-0003-1271-8151
dc.gnosis.orcid0000-0002-1574-1827
dc.gnosis.orcid0000-0001-9829-7946


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