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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 5 | Month- May 2024
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Paper Title
DEEP LEARNING ALGORITHM BASED SCHIZOPHRENIA PREDICTION FROM FUNCTIONAL MRI
Authors
S.Suba Lakshmi, Dr.K.Merriliance
Keywords
Disease Prediction, Deep Learning Algorithm
Abstract
Schizophrenia is a neurological disorder that affects many young people. Early detection and treatment can help relieve family stress and save social expenses. For schizophrenia, there is no objective evaluation index. A method for the classification of functional magnetic resonance imaging data is proposed in conjunction with the convolutional neural network algorithm to increase the classification effect of standard classification methods on magnetic resonance data. We use functional magnetic resonance imaging (fMRI) data for schizophrenia as an example, extract effective time series from preprocessed fMRI data, perform correlation analysis on regions of interest, and classify the functional connection between schizophrenia and healthy controls using transfer learning and the VGG19 net. The classification accuracy of fMRI based on VGG19 is up to 95%, according to experimental results.
IJCRT's Publication Details
Unique Identification Number - IJCRT22A6387
Paper ID - 220475
Page Number(s) - d153-d162
Pubished in - Volume 10 | Issue 6 | June 2022
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
S.Suba Lakshmi, Dr.K.Merriliance, "DEEP LEARNING ALGORITHM BASED SCHIZOPHRENIA PREDICTION FROM FUNCTIONAL MRI", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 6, pp.d153-d162, June 2022, Available at :http://www.ijcrt.org/papers/IJCRT22A6387.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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