Brain MRI image classification based on transfer learning and support vector machine

2019 ◽  
Author(s):  
Zimeng Li ◽  
Yan Zhao ◽  
Shigang Wang
Keyword(s):  
Support Vector Machine ◽  
Image Classification ◽  
Transfer Learning ◽  
Brain Mri ◽  
Support Vector ◽  
Mri Image

Organ-Based Medical Image Classification Using Support Vector Machine

2017 ◽  
Vol 8 (1) ◽  
pp. 18-30 ◽  
Author(s):  
Monali Y. Khachane
Keyword(s):  
Support Vector Machine ◽  
Image Classification ◽  
Medical Image ◽  
Brain Mri ◽  
Texture Features ◽  
Classification Problem ◽  
Training Data ◽  
Support Vector ◽  
Medical Image Classification ◽  
Occurrence Matrix

Computer-Aided Detection/Diagnosis (CAD) through artificial Intelligence is emerging ara in Medical Image processing and health care to make the expert systems more and more intelligent. The aim of this paper is to analyze the performance of different feature extraction techniques for medical image classification problem. Efforts are made to classify Brain MRI and Knee MRI medical images. Gray Level Co-occurrence Matrix (GLCM) based texture features, DWT and DCT transform features and Invariant Moments are used to classify the data. Experimental results shown that the proposed system produced better results however the training data is less than testing data. Support Vector Machine classifier with linear kernel produced higher accuracy 100% when used with texture features.

A Novel Technique for Subpixel Image Classification Based on Support Vector Machine

2010 ◽  
Vol 19 (11) ◽  
pp. 2983-2999 ◽  
Author(s):  
Francesca Bovolo ◽  
Lorenzo Bruzzone ◽  
Lorenzo Carlin
Keyword(s):  
Support Vector Machine ◽  
Image Classification ◽  
Support Vector ◽  
Novel Technique
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