Intelligence Quotient Classification from Human MRI Brain Images Using Convolutional Neural Network
| Autor: | A Arya, Manju Manuel |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Intelligence quotient
Human intelligence Computer science business.industry Deep learning Wechsler Adult Intelligence Scale 02 engineering and technology Cognitive neuroscience medicine.disease Convolutional neural network 020204 information systems 0202 electrical engineering electronic engineering information engineering medicine Autism 020201 artificial intelligence & image processing Artificial intelligence business IQ classification Cognitive psychology |
| Zdroj: | 2020 12th International Conference on Computational Intelligence and Communication Networks (CICN). |
| DOI: | 10.1109/cicn49253.2020.9242552 |
| Popis: | In cognitive neuroscience, exposing human intelligence has been of major interest to the researchers. Intelligence quotient (IQ) is a quantification of the intelligence of a person. It is a number which indicates an individual’s intellectual capacities and potentials. Determining one’s intelligence quotient helps us recognize a person’s different mental deformities, disorders, autism, etc. IQ of a person is related to the human brain. The level of intelligence can be attributed to variations in certain regions of the brain and neural parameters. However, there is not much research pertaining to a person’s IQ detection based on human physiological factors other than conducting skill tests. Inspired by the correlation between brain structure and intelligence, it is proposed to classify a person’s IQ into one of the four classes using Convolutional Neural Network (CNN) by extracting the IQ-related features from human brain MRI images. The IQ classification in this work is based on Wechsler’s Intelligence Scale. |
| Databáze: | OpenAIRE |
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