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To Detect Normal and Abnormal Neurological Disorder of MRI Image in Human using Convolutional Neural Netwok
- Source :
- 2019 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT).
- Publication Year :
- 2019
- Publisher :
- IEEE, 2019.
-
Abstract
- In todays world many numbers of people are affected with neurological disorder. Neurological disease is a brain abnormalities or brain dysfunction. It affects all age group of people. In past years, the detection of neurological disorder is a very difficult task but now, we are blessed with many medical technologies which are available such as MRI, CT scan and PET. Convolutional neural network is best classifier for image feature extraction without any image segment. In this paper, we detect neurological disorder for normal as well as abnormal brain using brain MRI dataset. To trace the MRI dataset, we select a convolutional neural network algorithm to classify the MRI data for normal and abnormal brain.
- Subjects :
- 0303 health sciences
medicine.diagnostic_test
Computer science
Brain dysfunction
Feature extraction
Computed tomography
Neurological disorder
Disease
medicine.disease
Convolutional neural network
03 medical and health sciences
Mri image
0302 clinical medicine
medicine
Brain mri
Neuroscience
030217 neurology & neurosurgery
030304 developmental biology
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2019 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)
- Accession number :
- edsair.doi...........092b86f0d7530aa6273c68d5dd59c9a8