Autism detection based on MRI images using Deep Learning
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.
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Brac University
2023
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| Mynediad Ar-lein: | http://hdl.handle.net/10361/19231 |
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10361-192312023-08-01T21:02:15Z Autism detection based on MRI images using Deep Learning Mostafa, Sadab Noshin, Tasnim Hoque Xenon, Zihadul Karim Arbi, Jimmati Hussain, Dr. Muhammad Iqbal Department of Computer Science and Engineering, Brac University Deep learning Autism Neuroimages Biomarker MRI ABIDE Generative Adversarial Network (GAN) Autism. Neural networks (Computer science) This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023. Cataloged from PDF version of thesis. Includes bibliographical references (pages 53-56). Autism spectrum disorder (ASD) is a neuro dysfunction or neurodevelopmental disorder. This causes a patient to have trouble with social interaction which causes social instability. It also causes speech problems or difficulty with any sort of verbal communication as well as nonverbal communication. The biggest issue with Autism is that it is difficult to diagnose it at an early level. The difficulty in diagnosing is due to the lack of a particular medical test for it. Researchers have yet to discover a bio marker or specific gene that can detect autism. Doctors still use outdated methods to identify autism nowadays. Doctors frequently keep track of a patient’s behavior since childhood. To address this issue and diagnose autism, artificial intelligence will be used in our research to develop an ASD diagnosis method. Our research will employ neuroimages. Functional MRI and Structural MRI images will be used to train our neural network model. ABIDE, a versatile dataset was used to initialize this research. This includes struc tural MRI and fMRI data from young and old ASD patients as well as healthy individuals. After examining the MRI pictures, a method was developed to pick out particular layers from those images. The dataset was then constructed using images from ABIDE for our models to train and test without performing any pre-processing. A variety of cutting-edge deep learning architectures were chosen to train using our created dataset. Novel architectures were used to attain an accuracy of 80% to practically 86%. Custom block was used later in the research to expand the dataset and achieve more accuracy. Finally, based on our findings, a model will be found that can more accurately identify autism from MRI pictures. Sadab Mostafa Tasnim Hoque Noshin Zihadul Karim Xenon Jimmati Arbi B. Computer Science and Engineering 2023-08-01T05:57:14Z 2023-08-01T05:57:14Z 2023 2023-01 Thesis ID: 18201132 ID: 18201107 ID: 18201046 ID: 18201023 http://hdl.handle.net/10361/19231 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 56 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Deep learning Autism Neuroimages Biomarker MRI ABIDE Generative Adversarial Network (GAN) Autism. Neural networks (Computer science) |
| spellingShingle |
Deep learning Autism Neuroimages Biomarker MRI ABIDE Generative Adversarial Network (GAN) Autism. Neural networks (Computer science) Mostafa, Sadab Noshin, Tasnim Hoque Xenon, Zihadul Karim Arbi, Jimmati Autism detection based on MRI images using Deep Learning |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023. |
| author2 |
Hussain, Dr. Muhammad Iqbal |
| author_facet |
Hussain, Dr. Muhammad Iqbal Mostafa, Sadab Noshin, Tasnim Hoque Xenon, Zihadul Karim Arbi, Jimmati |
| format |
Thesis |
| author |
Mostafa, Sadab Noshin, Tasnim Hoque Xenon, Zihadul Karim Arbi, Jimmati |
| author_sort |
Mostafa, Sadab |
| title |
Autism detection based on MRI images using Deep Learning |
| title_short |
Autism detection based on MRI images using Deep Learning |
| title_full |
Autism detection based on MRI images using Deep Learning |
| title_fullStr |
Autism detection based on MRI images using Deep Learning |
| title_full_unstemmed |
Autism detection based on MRI images using Deep Learning |
| title_sort |
autism detection based on mri images using deep learning |
| publisher |
Brac University |
| publishDate |
2023 |
| url |
http://hdl.handle.net/10361/19231 |
| work_keys_str_mv |
AT mostafasadab autismdetectionbasedonmriimagesusingdeeplearning AT noshintasnimhoque autismdetectionbasedonmriimagesusingdeeplearning AT xenonzihadulkarim autismdetectionbasedonmriimagesusingdeeplearning AT arbijimmati autismdetectionbasedonmriimagesusingdeeplearning |
| _version_ |
1814309796952670208 |