Skip navigation
Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/26856
Title: Brain Tumor Classification Using Hybrid Model of PSO and SVM Classifier
Authors: Kumar, Arun
Ashok A.
Ansari M.A.
Sharma V.
Singh M.
Published in: Proceedings - IEEE 2018 International Conference on Advances in Computing, Communication Control and Networking, ICACCCN 2018
2018 IEEE International Conference on Advances in Computing, Communication Control and Networking, ICACCCN 2018
Abstract: Medical image processing is the very significant process for any disease diagnosis now a days. MRI is usually used to detect the presence of tumor and its type.The process which is followed in classification of brain tumor is very complicated. There are various steps for the medical image processing like image segmentation, image extraction and image classification. Different types of features are extracted from the segmented MRI images like intensity, shapes and texture based features. The feature selection approach is used to select the small subset of features from MRI image which minimize redundancy and maximize relevance to the target. In this paper, online database of MRI images containing brain tumor is taken then a machine learning model is developed by using the Particle Swarm Optimization(PSO) algorithm for feature selection and then Support Vector Machine(SVM) classifier is used to classify the type of tumor in present brain MRI images. © 2018 IEEE.
Citation: Proceedings - IEEE 2018 International Conference on Advances in Computing, Communication Control and Networking, ICACCCN 2018 (2018): 1022-1026
URI: https://doi.org/10.1109/ICACCCN.2018.8748787
http://repository.iitr.ac.in/handle/123456789/26856
Issue Date: 2018
Publisher: Institute of Electrical and Electronics Engineers Inc.
Keywords: Brain tumor
classification
MRI images
PSO
SVM
ISBN: 9781538641194
Author Scopus IDs: 57223779688
55009605100
57211649852
Author Affiliations: Kumar, A., Department of Computer Science Engineering, Uttrakhand Technical University, Dehradun, India
Ashok, A., Women Institute of Technology, Dehradun, India
Ansari, M.A., Department of Electrical Engineering, Gautam Buddha University, Greater Noida, India
Funding Details: 
Appears in Collections:Conference Publications [HRE]

Files in This Item:
There are no files associated with this item.
Show full item record


Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.