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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Bibliographic Details
Main Authors: Laura Cristina Lanzarini, María Teresa Vargas Camacho, Amado Flores Badrán, Armando Eduardo De Giusti
Format: Article
Language:English
Published: Postgraduate Office, School of Computer Science, Universidad Nacional de La Plata 2000-03-01
Series:Journal of Computer Science and Technology
Subjects:
Online Access:https://journal.info.unlp.edu.ar/JCST/article/view/1017