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Statistics report
Sep. 2021
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 100
Paper Published : 1307
No. of Authors : 3297
  Journal Paper


Paper Title :
Brain Tumor Identification Using Swarm Intelligence

Author :Shivani Patil, Jayashree Awati

Article Citation :Shivani Patil ,Jayashree Awati , (2020 ) " Brain Tumor Identification Using Swarm Intelligence " , International Journal of Advance Computational Engineering and Networking (IJACEN) , pp. 21-14, Volume-8,Issue-9

Abstract : In medical science it is really difficult task for radiologist to find out tumor from brain MRI. Lot of time waste in this process. If there is primary tumor is present then patient is safe but if it is secondary then patient may go through many difficulties. Treatment as early as possible is the solution for the patient. Many brain tumor detection technologies have been find out in the past. The aim of this system is to develop automatic process of detecting brain tumor and finding type of tumor in less time from brain MRI. The PSO based system helps to select optimum features. The SVM is machine learning techniques which classify linear and non linear data sets which tests the detected tumor and gives the name of the type. Keywords - SVM: Support Vector Machine , PSO : Particle Swarm Optimization

Type : Research paper

Published : Volume-8,Issue-9


DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-17517   View Here

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