scholarly journals A Genetic Algorithm Based Feature Selection for Classification of Brain MRI Scan Images Using Random Forest Classifier

Author(s):  
Dr. S. Mary Joans ◽  
J. Sandhiya
2015 ◽  
Vol 15 (02) ◽  
pp. 1540025 ◽  
Author(s):  
IMANE NEDJAR ◽  
MOSTAFA EL HABIB DAHO ◽  
NESMA SETTOUTI ◽  
SAÏD MAHMOUDI ◽  
MOHAMED AMINE CHIKH

Automated classification of medical images is an increasingly important tool for physicians in their daily activities. However, due to its computational complexity, this task is one of the major current challenges in the field of content-based image retrieval (CBIR). In this paper, a medical image classification approach is proposed. This method is composed of two main phases. The first step consists of a pre-processing, where a texture and shape based features vector is extracted. Also, a feature selection approach was applied by using a Genetic Algorithm (GA). The proposed GA uses a kNN based classification error as fitness function, which enables the GA to obtain a combinatorial set of feature giving rise to optimal accuracy. In the second phase, a classification process is achieved by using random Forest classifier and a supervised multi-class classifier based on the support vector machine (SVM) for classifying X-ray images.


2011 ◽  
Vol 10 (2) ◽  
pp. 588-603 ◽  
Author(s):  
P. Xuan ◽  
M.Z. Guo ◽  
J. Wang ◽  
C.Y. Wang ◽  
X.Y. Liu ◽  
...  

2011 ◽  
Vol 32 (15) ◽  
pp. 4311-4326 ◽  
Author(s):  
Yasser Maghsoudi ◽  
Mohammad Javad Valadan Zoej ◽  
Michael Collins

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