Open AccessDiagnosis of lesion with statistical method of Anova1 & two ways for multi-MRI images with format. dicom
Author(s) -
Kaouther El Kourd,
Atianaoual,
Abdenour Bouaicha,
Souleyman Benkraouda
Publication year - 2017
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i1.2.9289
Subject(s) - dicom , analysis of variance , computer science , variance (accounting) , artificial intelligence , statistical analysis , image (mathematics) , computer vision , lesion , pattern recognition (psychology) , statistics , mathematics , medicine , machine learning , pathology , accounting , business
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.