Image compression for medical diagnosis using neural networks

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 tomographie...

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Detalles Bibliográficos
Autores principales: Lanzarini, Laura Cristina, Vargas Camacho, María Teresa, Flores Badrán, Amado, De Giusti, Armando Eduardo
Formato: Articulo
Lenguaje:Inglés
Publicado: 2000
Materias:
Ciencias Informáticas
artificial intelligence; neural networks; images processing; medical diagnosis
Distributed Artificial Intelligence
Neural nets
Image processing software
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/9390
http://journal.info.unlp.edu.ar/wp-content/uploads/2015/papers_02/image.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-9390
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
artificial intelligence; neural networks; images processing; medical diagnosis
Distributed Artificial Intelligence
Neural nets
Image processing software
spellingShingle Ciencias Informáticas
artificial intelligence; neural networks; images processing; medical diagnosis
Distributed Artificial Intelligence
Neural nets
Image processing software
Lanzarini, Laura Cristina
Vargas Camacho, María Teresa
Flores Badrán, Amado
De Giusti, Armando Eduardo
Image compression for medical diagnosis using neural networks
topic_facet Ciencias Informáticas
artificial intelligence; neural networks; images processing; medical diagnosis
Distributed Artificial Intelligence
Neural nets
Image processing software
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%.
format Articulo
Articulo
author Lanzarini, Laura Cristina
Vargas Camacho, María Teresa
Flores Badrán, Amado
De Giusti, Armando Eduardo
author_facet Lanzarini, Laura Cristina
Vargas Camacho, María Teresa
Flores Badrán, Amado
De Giusti, Armando Eduardo
author_sort Lanzarini, Laura Cristina
title Image compression for medical diagnosis using neural networks
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
publishDate 2000
url http://sedici.unlp.edu.ar/handle/10915/9390
http://journal.info.unlp.edu.ar/wp-content/uploads/2015/papers_02/image.pdf
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AT vargascamachomariateresa imagecompressionformedicaldiagnosisusingneuralnetworks
AT floresbadranamado imagecompressionformedicaldiagnosisusingneuralnetworks
AT degiustiarmandoeduardo imagecompressionformedicaldiagnosisusingneuralnetworks
bdutipo_str Repositorios
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