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A Cloud Architecture for the Execution of Medical Imaging Biomarkers

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A Cloud Architecture for the Execution of Medical Imaging Biomarkers

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dc.contributor.author López-Huguet, Sergio es_ES
dc.contributor.author García-Castro, Fabio es_ES
dc.contributor.author Alberich-Bayarri, Angel es_ES
dc.contributor.author Blanquer Espert, Ignacio es_ES
dc.date.accessioned 2022-01-19T09:17:22Z
dc.date.available 2022-01-19T09:17:22Z
dc.date.issued 2019-06-14 es_ES
dc.identifier.isbn 978-3-030-22734-0 es_ES
dc.identifier.issn 0302-9743 es_ES
dc.identifier.uri http://hdl.handle.net/10251/179920
dc.description.abstract Digital Medical Imaging is increasingly being used in clinical routine and research. As a consequence, the workload in medical imaging departments in hospitals has multiplied by over 20 in the last decade. Medical Image processing requires intensive computing resources not available at hospitals, but which could be provided by public clouds. The article analyses the requirements of processing digital medical images and introduces a cloud-based architecture centred on a DevOps approach to deploying resources on demand, adjusting them based on the request of resources and the expected execution time to deal with an unplanned workload. Results presented show a low overhead and high flexibility executing a lung disease biomarker on a public cloud. es_ES
dc.description.sponsorship The work in this article has been co-funded by project SME Instrument Phase II - 778064, QUIBIM Precision, funded by the European Commission under the INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT), Horizon 2020, project ATMOSPHERE, funded jointly by the European Commission under the Cooperation Programme, Horizon 2020 grant agreement No 777154 and the Brazilian Ministerio de Ciencia, Tecnologia e Inovacao (MCTI), number 51119. The authors would like also to thank the Spanish Ministerio de Economia, Industria y Competitividad¿ for the project BigCLOE with reference number TIN2016-79951-R. es_ES
dc.language Inglés es_ES
dc.publisher Springer es_ES
dc.relation.ispartof Computational Science - ICCS 2019. Lecture Notes in Computer Science es_ES
dc.relation.ispartofseries Lecture Notes in Computer Science;11538 es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Cloud computing es_ES
dc.subject Medical imaging es_ES
dc.subject DevOps es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.subject.classification CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL es_ES
dc.title A Cloud Architecture for the Execution of Medical Imaging Biomarkers es_ES
dc.type Comunicación en congreso es_ES
dc.type Artículo es_ES
dc.type Capítulo de libro es_ES
dc.identifier.doi 10.1007/978-3-030-22744-9_10 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/777154/EU/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TIN2016-79951-R//COMPUTACION BIG DATA Y DE ALTAS PRESTACIONES SOBRE MULTI-CLOUDS ELASTICOS/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/778064/EU/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MCTIC//51119/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Telecomunicación - Escola Tècnica Superior d'Enginyers de Telecomunicació es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto de Instrumentación para Imagen Molecular - Institut d'Instrumentació per a Imatge Molecular es_ES
dc.description.bibliographicCitation López-Huguet, S.; García-Castro, F.; Alberich-Bayarri, A.; Blanquer Espert, I. (2019). A Cloud Architecture for the Execution of Medical Imaging Biomarkers. Springer. 130-144. https://doi.org/10.1007/978-3-030-22744-9_10 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename International Conference on Computational Science (ICCS 2019) es_ES
dc.relation.conferencedate Junio 12-14,2019 es_ES
dc.relation.conferenceplace Faro, Portugal es_ES
dc.relation.publisherversion https://doi.org/10.1007/978-3-030-22744-9_10 es_ES
dc.description.upvformatpinicio 130 es_ES
dc.description.upvformatpfin 144 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela S\390043 es_ES
dc.contributor.funder European Commission es_ES
dc.contributor.funder Ministerio de Economía, Industria y Competitividad es_ES
dc.contributor.funder Ministerio da Ciencia, Tecnologia, Inovacoes e Comunicacoes, Brasil es_ES
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