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Image compression for medical diagnosis using neural networks

Lanzarini, Laura Cristina et al · SEDICI UNLP · 2000

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Author / responsible party
Lanzarini, Laura Cristina et al
Publisher
SEDICI UNLP
Year
2000
Language
English

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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

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APA 7

Lanzarini, L. C. E. A. (2000). Image compression for medical diagnosis using neural networks. http://sedici.unlp.edu.ar/handle/10915/9390

MLA

Lanzarini, Laura Cristina et al. "Image compression for medical diagnosis using neural networks." 2000. http://sedici.unlp.edu.ar/handle/10915/9390.

Chicago

Lanzarini, Laura Cristina et al. 2000. "Image compression for medical diagnosis using neural networks.". http://sedici.unlp.edu.ar/handle/10915/9390.

Harvard

Lanzarini, L. C. E. A. 2000, Image compression for medical diagnosis using neural networks, SEDICI UNLP, available at: http://sedici.unlp.edu.ar/handle/10915/9390 [Accessed 8 Aug. 2026].

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Resource details

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Title
Image compression for medical diagnosis using neural networks
Author / contributors
Lanzarini, Laura Cristina et al
Publisher
SEDICI UNLP
Publication year
2000
Language
English

Subjects

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Ciencias Informáticas; artificial intelligence; neural networks; images processing; medical diagnosis; Distributed Artificial Intelligence; Neural nets; Image processing software
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