Image compression for medical diagnosis using neural networks

Autores
Lanzarini, Laura Cristina; Vargas Camacho, María Teresa; Flores Badrán, Amado; De Giusti, Armando Eduardo
Año de publicación
2000
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Images compression is a widely studied topic. Conventional situations offer variable compression ratios depending on the image in question and, in general, do not yield good results for images that are rich in tones. This work is an application of images compression of patient s computed tomographies using neural networks, which allows to carry out both compression and decompression of the images with a fixed ratio of 8:1 and a loss of 2%.
Facultad de Informática
Materia
Ciencias Informáticas
artificial intelligence; neural networks; images processing; medical diagnosis
Distributed Artificial Intelligence
Neural nets
Image processing software
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc/3.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/9390
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/9390
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Image compression for medical diagnosis using neural networksLanzarini, Laura CristinaVargas Camacho, María TeresaFlores Badrán, AmadoDe Giusti, Armando EduardoCiencias Informáticasartificial intelligence; neural networks; images processing; medical diagnosisDistributed Artificial IntelligenceNeural netsImage processing softwareImages compression is a widely studied topic. Conventional situations offer variable compression ratios depending on the image in question and, in general, do not yield good results for images that are rich in tones. This work is an application of images compression of patient s computed tomographies using neural networks, which allows to carry out both compression and decompression of the images with a fixed ratio of 8:1 and a loss of 2%.Facultad de Informática2000info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/9390enginfo:eu-repo/semantics/altIdentifier/url/http://journal.info.unlp.edu.ar/wp-content/uploads/2015/papers_02/image.pdfinfo:eu-repo/semantics/altIdentifier/issn/1666-6038info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc/3.0/Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T10:23:30Zoai:sedici.unlp.edu.ar:10915/9390Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 10:23:30.664SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Image compression for medical diagnosis using neural networks
title Image compression for medical diagnosis using neural networks
spellingShingle Image compression for medical diagnosis using neural networks
Lanzarini, Laura Cristina
Ciencias Informáticas
artificial intelligence; neural networks; images processing; medical diagnosis
Distributed Artificial Intelligence
Neural nets
Image processing software
title_short Image compression for medical diagnosis using neural networks
title_full Image compression for medical diagnosis using neural networks
title_fullStr Image compression for medical diagnosis using neural networks
title_full_unstemmed Image compression for medical diagnosis using neural networks
title_sort Image compression for medical diagnosis using neural networks
dc.creator.none.fl_str_mv Lanzarini, Laura Cristina
Vargas Camacho, María Teresa
Flores Badrán, Amado
De Giusti, Armando Eduardo
author Lanzarini, Laura Cristina
author_facet Lanzarini, Laura Cristina
Vargas Camacho, María Teresa
Flores Badrán, Amado
De Giusti, Armando Eduardo
author_role author
author2 Vargas Camacho, María Teresa
Flores Badrán, Amado
De Giusti, Armando Eduardo
author2_role author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
artificial intelligence; neural networks; images processing; medical diagnosis
Distributed Artificial Intelligence
Neural nets
Image processing software
topic Ciencias Informáticas
artificial intelligence; neural networks; images processing; medical diagnosis
Distributed Artificial Intelligence
Neural nets
Image processing software
dc.description.none.fl_txt_mv Images compression is a widely studied topic. Conventional situations offer variable compression ratios depending on the image in question and, in general, do not yield good results for images that are rich in tones. This work is an application of images compression of patient s computed tomographies using neural networks, which allows to carry out both compression and decompression of the images with a fixed ratio of 8:1 and a loss of 2%.
Facultad de Informática
description Images compression is a widely studied topic. Conventional situations offer variable compression ratios depending on the image in question and, in general, do not yield good results for images that are rich in tones. This work is an application of images compression of patient s computed tomographies using neural networks, which allows to carry out both compression and decompression of the images with a fixed ratio of 8:1 and a loss of 2%.
publishDate 2000
dc.date.none.fl_str_mv 2000
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/9390
url http://sedici.unlp.edu.ar/handle/10915/9390
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://journal.info.unlp.edu.ar/wp-content/uploads/2015/papers_02/image.pdf
info:eu-repo/semantics/altIdentifier/issn/1666-6038
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc/3.0/
Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc/3.0/
Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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score 13.13397

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