An Improved Distributed Computing System For Fmri DataAnalytics
Volume: 11 - Issue: 10 - Date: 13-10-2022
Approved ISSN: 2278-1412
Published Id: IJAECESTU6 | Page No.: 135-137
Author: Renu Rai
Co- Author: Dr. Sneha Soni,Dr. Kalpana Rai
Abstract:-Magnetic Resonance Imaging (MRI) is a medical imaging technique, mainly used by
the radiologist for the visual examination of the internal structure of the human body without any
surgery. MRI provides plentiful information about the human soft tissue, which helps in the
diagnosis of brain tumour. Functional MRI (fMRI), currently the most advanced technology, is at
the disposal of cognitive neuroscience. Feature selection techniques are explored for
dimensionality reduction which are intuitive and map back easily into large original feature space
for interpretation. In this work, the Support Vector Machine (SVM), Independent Component
Analysis (ICA), and Particle Swarm Optimization (PSO) based feature selections are proposed.
Key Words:- fMRI, Big Data Analytics, Distributed Computing, SVM,PSO
Area:-Engineering
Download Paper:
Preview This Article
