Science Alert
 
Blue
   
Curve Top
Pakistan Journal of Biological Sciences
  Year: 2014 | Volume: 17 | Issue: 3 | Page No.: 335-345
DOI: 10.3923/pjbs.2014.335.345
 
Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

Support Vector Machines for Microscopic Medical Images Compression

Chahinez Meriem Bentaouza and Mohamed Benyettou

Abstract:
This study presents the compression of microscopic medical images by Support Vector Machines using machine learning. The visual cortex is the largest system in the human brain and is responsible for image processing such as compression, because the eye does not necessarily perceive all the details of an image. Medical images are a valuable means of decision support. However, they provide a large number of images per examination that can be transmitted over a network or stored for several years under the law imposed by the country. To apply the reasoning of biological intelligence, this study uses Support Vector Machines for compression to reduce the pixels of medical images in order to transmit data in less time and store information in less space. The results found by using this method are satisfactory for compression though the time must be improved.
PDF Fulltext XML References Citation Report Citation
 RELATED ARTICLES:
  •    Support Vector Machines for Brain Tumours Cells Classification
How to cite this article:

Chahinez Meriem Bentaouza and Mohamed Benyettou, 2014. Support Vector Machines for Microscopic Medical Images Compression. Pakistan Journal of Biological Sciences, 17: 335-345.

DOI: 10.3923/pjbs.2014.335.345

URL: https://scialert.net/abstract/?doi=pjbs.2014.335.345

COMMENT ON THIS PAPER
 
 
 

 

 
 
 
 
 
 
 
 
 

 
 
 
 
 
 
 
 
 
 
 
 



Curve Bottom