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dc.date.accessioned 2004-05-10T18:22:37Z
dc.date.available 2004-05-10T03:00:00Z
dc.date.issued 2000
dc.identifier.uri http://hdl.handle.net/10915/9390
dc.description.abstract 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%. en
dc.format.extent 7 p. es
dc.language en es
dc.title Image compression for medical diagnosis using neural networks en
dc.type Articulo es
sedici.identifier.uri http://journal.info.unlp.edu.ar/wp-content/uploads/2015/papers_02/image.pdf es
sedici.identifier.issn 1666-6038 es
sedici.creator.person Lanzarini, Laura Cristina es
sedici.creator.person Vargas Camacho, María Teresa es
sedici.creator.person Flores Badrán, Amado es
sedici.creator.person De Giusti, Armando Eduardo es
sedici.subject.materias Ciencias Informáticas es
sedici.subject.keyword artificial intelligence; neural networks; images processing; medical diagnosis en
sedici.description.fulltext true es
mods.originInfo.place Facultad de Informática es
sedici.subtype Articulo es
sedici.rights.license Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc/3.0/
sedici.description.peerReview peer-review es
sedici2003.identifier ARG-UNLP-ART-0000000235 es
sedici.relation.journalTitle Journal of Computer Science & Technology es
sedici.relation.journalVolumeAndIssue vol. 1, no. 2 es
sedici.subject.acmcss98 Distributed Artificial Intelligence es
sedici.subject.acmcss98 Neural nets es
sedici.subject.acmcss98 Image processing software es

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Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0) Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)