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  3. 1755-1761
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Journal of Applied Sciences

Year: 2010 | Volume: 10 | Issue: 16 | Page No.: 1755-1761
DOI: 10.3923/jas.2010.1755.1761

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Authors


C.M. Bentaouza

Country: Algeria

M. Benyettou

Country: Algeria

Keywords


  • Medical image
  • microscopy
  • multiclass
  • one versus rest
  • supervised learning
Research Article

Support Vector Machines for Brain Tumours Cells Classification

C.M. Bentaouza and M. Benyettou
PDF Abstract Fulltext XML References

Citation to this article as recorded by ASCI logo

Chahinez Meriem Bentaouza, Mohamed Benyettou 2014. Support Vector Machines for Microscopic Medical Images Compression Pak. J. Biol. Sci., 17: 335-345.
CrossRef

Citation to this article as recorded by Crossref logo

Data mining techniques for AFM- based tumor classification
2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)

How to cite this article

C.M. Bentaouza and M. Benyettou, 2010. Support Vector Machines for Brain Tumours Cells Classification. Journal of Applied Sciences, 10: 1755-1761.

DOI: 10.3923/jas.2010.1755.1761

URL: https://scialert.net/abstract/?doi=jas.2010.1755.1761

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