Analysis of MRI Images of the Liver, using a Combination of Wavelet and Principle Component Analysis (Pca) and Support Vector Machine (SVM) for the Diagnosis and Classification of Benign and Malignant Tumors

Analysis of MRI Images of the Liver, using a Combination of Wavelet and Principle Component Analysis (Pca) and Support Vector Machine (SVM) for the Diagnosis and Classification of Benign and Malignant Tumors

The accurate detection of abnormal liver tissues, using an automatic classification system with accurate results in medicine, is a critical issue for the resolution of which so many methods have been proposed so far. In this study, first we analyzed the liver images produced by MRI, using wavelet i...

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Bibliographic Details
Main Authors: Bahman Cheraghi Gharakhanloo, Bashir Bagheri Nakhjavanlo, Ali Mohammad Mohammadi
Format: Article
Language:English
Published: Tehran University of Medical Sciences 2018-04-01
Series:Basic & Clinical Cancer Research
Subjects:
Liver
tumor
malignant
benign
wavelet
SVM
Online Access:https://bccr.tums.ac.ir/index.php/bccrj/article/view/259

Internet

https://bccr.tums.ac.ir/index.php/bccrj/article/view/259

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