Diagnosis of lesion with statistical method of Anova1 & two ways for multi-MRI images with format. dicom

  • Authors

    • Kaouther El Kourd
    • Atianaoual .
    • Abdenour Bouaicha
    • Souleyman Benkraouda
    2017-12-28
    https://doi.org/10.14419/ijet.v7i1.2.9289
  • Anova, 1, Anova 2, Statistical, Regression.
  • This paper deals with real time surface detection for image processing and analysis. We propose an appropriate analysis method with analysis of variance two ways to detect all surfaces of images in accuracy time. The results indicate that Anova_2 converged to the solution in accuracy time in comparison with Anova_1 for linear model.

  • References

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      [2] http://www.itl.nist.gov/div898/handbook/prc/section4/prc4.m

      [3] Frank E.Harrell, Jr, Regression modelin strategies (with applications to linear models, logistic &ordinal regression,& survival analysis), 2end edition, Department of biostatistics, school of medicine Vanderbilt university Nashville, TN.USA, ISSN0172-7397,springer series in statistics, ISBN 978-3-319-1942-0 ,2001

      [4] Keith R.Muller Bethel A.Fetterman, Regression &Anova, USA, 2002, ISBN 1-58025-890-5

      [5] R.Henson(1) and W.Penny(2),ANOVAs and SPM, Institute of Cognitive Neuroscence, Wellcome department of enImagingNeurscence,UniversityCollegeLondon.July12,(2005)

      [6] Laure Tabary. Nicholas Ayache. Jacques Darcourt. Grégoire Malandain .Analyse statistique d'images médicales: étude et utilisation du logiciel SPM. Marie. (1999)

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  • How to Cite

    El Kourd, K., ., A., Bouaicha, A., & Benkraouda, S. (2017). Diagnosis of lesion with statistical method of Anova1 & two ways for multi-MRI images with format. dicom. International Journal of Engineering & Technology, 7(1.2), 235-238. https://doi.org/10.14419/ijet.v7i1.2.9289