Algorithm for Optimization in Medical Image Processing applied in Heterogeneous Architecture
Descripción del Articulo
ACM-2022: Algorithms Computing and Mathematics Conference, August 29 – 30, 2022, Chennai, India.
Autores: | , , , , , , , , , , |
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Formato: | objeto de conferencia |
Fecha de Publicación: | 2022 |
Institución: | Universidad Tecnológica del Perú |
Repositorio: | UTP-Institucional |
Lenguaje: | inglés |
OAI Identifier: | oai:repositorio.utp.edu.pe:20.500.12867/9808 |
Enlace del recurso: | https://hdl.handle.net/20.500.12867/9808 |
Nivel de acceso: | acceso abierto |
Materia: | Programming GPU Medical imagining Algorithms Methodology https://purl.org/pe-repo/ocde/ford#2.02.04 |
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dc.title.es_PE.fl_str_mv |
Algorithm for Optimization in Medical Image Processing applied in Heterogeneous Architecture |
title |
Algorithm for Optimization in Medical Image Processing applied in Heterogeneous Architecture |
spellingShingle |
Algorithm for Optimization in Medical Image Processing applied in Heterogeneous Architecture Rojas, Karin Programming GPU Medical imagining Algorithms Methodology https://purl.org/pe-repo/ocde/ford#2.02.04 |
title_short |
Algorithm for Optimization in Medical Image Processing applied in Heterogeneous Architecture |
title_full |
Algorithm for Optimization in Medical Image Processing applied in Heterogeneous Architecture |
title_fullStr |
Algorithm for Optimization in Medical Image Processing applied in Heterogeneous Architecture |
title_full_unstemmed |
Algorithm for Optimization in Medical Image Processing applied in Heterogeneous Architecture |
title_sort |
Algorithm for Optimization in Medical Image Processing applied in Heterogeneous Architecture |
author |
Rojas, Karin |
author_facet |
Rojas, Karin Auccahuasi, Wilver Meza, Sandra Porras, Emelyn Reyes, Milagros Linares, Oscar Inciso-Rojas, Miryam Pando-Ezcurra, Tamara Aiquipa, Gabriel Nicolas-Rojas, Yoni Auccahuasi, Aly |
author_role |
author |
author2 |
Auccahuasi, Wilver Meza, Sandra Porras, Emelyn Reyes, Milagros Linares, Oscar Inciso-Rojas, Miryam Pando-Ezcurra, Tamara Aiquipa, Gabriel Nicolas-Rojas, Yoni Auccahuasi, Aly |
author2_role |
author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Rojas, Karin Auccahuasi, Wilver Meza, Sandra Porras, Emelyn Reyes, Milagros Linares, Oscar Inciso-Rojas, Miryam Pando-Ezcurra, Tamara Aiquipa, Gabriel Nicolas-Rojas, Yoni Auccahuasi, Aly |
dc.subject.es_PE.fl_str_mv |
Programming GPU Medical imagining Algorithms Methodology |
topic |
Programming GPU Medical imagining Algorithms Methodology https://purl.org/pe-repo/ocde/ford#2.02.04 |
dc.subject.ocde.es_PE.fl_str_mv |
https://purl.org/pe-repo/ocde/ford#2.02.04 |
description |
ACM-2022: Algorithms Computing and Mathematics Conference, August 29 – 30, 2022, Chennai, India. |
publishDate |
2022 |
dc.date.accessioned.none.fl_str_mv |
2024-10-01T00:07:13Z |
dc.date.available.none.fl_str_mv |
2024-10-01T00:07:13Z |
dc.date.issued.fl_str_mv |
2022 |
dc.type.es_PE.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
dc.type.version.es_PE.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.issn.none.fl_str_mv |
1613-0073 |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12867/9808 |
dc.identifier.journal.es_PE.fl_str_mv |
CEUR Workshop Proceedings |
identifier_str_mv |
1613-0073 CEUR Workshop Proceedings |
url |
https://hdl.handle.net/20.500.12867/9808 |
dc.language.iso.es_PE.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartofseries.none.fl_str_mv |
CEUR Workshop Proceedings;Vol. 3445, Pages 33 - 43 |
dc.rights.es_PE.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.uri.es_PE.fl_str_mv |
http://creativecommons.org/licenses/by/4.0/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by/4.0/ |
dc.format.es_PE.fl_str_mv |
application/pdf |
dc.publisher.es_PE.fl_str_mv |
CEUR-WS |
dc.publisher.country.es_PE.fl_str_mv |
US |
dc.source.es_PE.fl_str_mv |
Repositorio Institucional - UTP Universidad Tecnológica del Perú |
dc.source.none.fl_str_mv |
reponame:UTP-Institucional instname:Universidad Tecnológica del Perú instacron:UTP |
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Universidad Tecnológica del Perú |
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UTP |
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UTP |
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UTP-Institucional |
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UTP-Institucional |
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spelling |
Rojas, KarinAuccahuasi, WilverMeza, SandraPorras, EmelynReyes, MilagrosLinares, OscarInciso-Rojas, MiryamPando-Ezcurra, TamaraAiquipa, GabrielNicolas-Rojas, YoniAuccahuasi, Aly2024-10-01T00:07:13Z2024-10-01T00:07:13Z20221613-0073https://hdl.handle.net/20.500.12867/9808CEUR Workshop ProceedingsACM-2022: Algorithms Computing and Mathematics Conference, August 29 – 30, 2022, Chennai, India.In these times of pandemic, hospitals are being the focus of many innovations, not only for the adaptation to telemedicine, but also from the perspective of the use and processing of the multiple modalities of medical images, where we find images made up of a single Image such as x-rays, images that are made up of a sequence of images such as tomography and Magnetic Resonance, or in video format as is the case with ultrasound and angiography. One way of working with images is through popular image servers that connect to medical equipment for transfer and storage. In the process of visualization and processing, special workstations with good computational capacity are required for these purposes, in most cases these workstations are connected in the network of medical offices, therefore they are presented in a normal working image display requests at the same time. The methodology presented uses a heterogeneous architecture based on CPU and GPU, in such a way that by means of an algorithm it analyzes the type and dimension of the image to be able to choose where the processing will be carried out, thereby optimizing the use of computational resources. and we can achieve a parallel job that the CPU and GPU are working simultaneously with different imaging modalities. As a result, we present the execution mode of the algorithm where it automatically chooses what type of image is processed by the CPU and what type is processed in the GPU, as well as the execution time in each of them. Finally we can indicate that the algorithm can be scalable towards workstations to optimize its use in clinical practice.Campus Ateapplication/pdfengCEUR-WSUSCEUR Workshop Proceedings;Vol. 3445, Pages 33 - 43info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/Repositorio Institucional - UTPUniversidad Tecnológica del Perúreponame:UTP-Institucionalinstname:Universidad Tecnológica del Perúinstacron:UTPProgrammingGPUMedical imaginingAlgorithmsMethodologyhttps://purl.org/pe-repo/ocde/ford#2.02.04Algorithm for Optimization in Medical Image Processing applied in Heterogeneous Architectureinfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionLICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://repositorio.utp.edu.pe/bitstream/20.500.12867/9808/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52ORIGINALAlgorithm for Optimization in Medical Image Processing applied.pdfAlgorithm for Optimization in Medical Image Processing applied.pdfapplication/pdf658080http://repositorio.utp.edu.pe/bitstream/20.500.12867/9808/1/Algorithm%20for%20Optimization%20in%20Medical%20Image%20Processing%20applied.pdf3dc4bdeb6600105c47cba18294d7c5b0MD51TEXTAlgorithm for Optimization in Medical Image Processing applied.pdf.txtAlgorithm for Optimization in Medical Image Processing applied.pdf.txtExtracted texttext/plain27329http://repositorio.utp.edu.pe/bitstream/20.500.12867/9808/3/Algorithm%20for%20Optimization%20in%20Medical%20Image%20Processing%20applied.pdf.txtdb907152b8cd4a4942dbf318d7162830MD53THUMBNAILAlgorithm for Optimization in Medical Image Processing applied.pdf.jpgAlgorithm for Optimization in Medical Image Processing applied.pdf.jpgGenerated Thumbnailimage/jpeg19400http://repositorio.utp.edu.pe/bitstream/20.500.12867/9808/4/Algorithm%20for%20Optimization%20in%20Medical%20Image%20Processing%20applied.pdf.jpg705b69c37f0b30a82b4f52dd0681bc02MD5420.500.12867/9808oai:repositorio.utp.edu.pe:20.500.12867/98082024-10-01 03:06:49.852Repositorio Institucional de la Universidad Tecnológica del Perúrepositorio@utp.edu.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 |
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