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On the Subjective Assessment of the Perceived Quality of Medical Images and Videos

2018-09-13Conference object Open access
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dc.contributor.authorLévêque, Lucie
dc.contributor.authorLiu, Hantao
dc.contributor.authorBaraković, Sabina
dc.contributor.authorBarakovic Husic, Jasmina
dc.contributor.authorMartini, Maria G
dc.contributor.authorOuttas, Meriem
dc.contributor.authorZhang, Lu
dc.contributor.authorKumcu, Asli
dc.contributor.authorPlatisa, Ljiljana
dc.contributor.authorRodrigues, Rafael
dc.contributor.authorPinheiro, Antonio M. G.
dc.contributor.authorSkodras, Athanassios
dc.date.accessioned2021-02-05T09:31:22Z
dc.date.available2021-02-05T09:31:22Z
dc.date.issued2018-09-13
dc.description.abstractMedical professionals are viewing an increasing number of images and videos in their clinical routine. However, various types of distortions can affect medical imaging data, and therefore impact the viewers’ experienced quality and their clinical practice. Thus it is necessary to quantify this impact and understand how the viewers, i.e., medical experts, perceive the quality of (distorted) images and videos. In this paper, we present an up-to-date review of the methodologies used in the literature for the subjective quality assessment of medical images and videos and discuss their merits and drawbacks depending on the use case.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1109/QoMEX.2018.8463297pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.6/11097
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIEEEpt_PT
dc.relationTexture Analysis of Magnetic Resonance Images for Diagnosis and Monitoring of Neuromuscular Diseases
dc.relation.publisherversionhttps://ieeexplore.ieee.org/abstract/document/8463297pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectMedical image qualitypt_PT
dc.subjectImage quality assessmentpt_PT
dc.subjectVideo quality assessmentpt_PT
dc.subjectSubjective experimentpt_PT
dc.subjectMOSpt_PT
dc.titleOn the Subjective Assessment of the Perceived Quality of Medical Images and Videospt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleTexture Analysis of Magnetic Resonance Images for Diagnosis and Monitoring of Neuromuscular Diseases
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/OE/SFRH%2FBD%2F130858%2F2017/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FEEA%2F50008%2F2013/PT
oaire.citation.conferencePlaceCagliari, Italypt_PT
oaire.citation.endPage6pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.title2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX)pt_PT
oaire.fundingStreamOE
oaire.fundingStream5876
person.familyNameLévêque
person.familyNameLiu
person.familyNameBaraković
person.familyNameBarakovic Husic
person.familyNameMartini
person.familyNamezhang
person.familyNameMendes Rodrigues
person.familyNamePinheiro
person.givenNameLucie
person.givenNameHantao
person.givenNameSabina
person.givenNameJasmina
person.givenNameMaria G
person.givenNamelu
person.givenNameJorge Rafael
person.givenNameAntonio
person.identifier1351554
person.identifier.ciencia-idD112-43CA-98E0
person.identifier.ciencia-id2218-265E-17D2
person.identifier.orcid0000-0002-1811-0991
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person.identifier.orcid0000-0002-8710-7550
person.identifier.orcid0000-0002-8859-5453
person.identifier.orcid0000-0002-9481-9601
person.identifier.orcid0000-0002-5968-9901
person.identifier.ridB-2723-2012
person.identifier.scopus-author-id57195552369
person.identifier.scopus-author-id55601474300
person.identifier.scopus-author-id7202427977
person.identifier.scopus-author-id8420644500
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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