Design and evaluation of convolutional neural network for detection of Alzheimer’s disease using MRI data
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.
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| Ngôn ngữ: | English |
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Brac University
2022
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| Truy cập trực tuyến: | http://hdl.handle.net/10361/16588 |
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10361-16588 |
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10361-165882022-05-11T21:01:38Z Design and evaluation of convolutional neural network for detection of Alzheimer’s disease using MRI data Mahbub, Riasat Azim, Muhammad Anwarul Reza, Khondaker Masfiq Mahee, Md Nafiz Ishtiaque MD. Zahidul Islam Sanjid Parvez, Mohammad Zavid Department of Computer Science and Engineering, Brac University Alzheimer’s disease Magnetic resonance imaging Convolutional neural network (CNN) Neural networks (Computer science) Computer networks This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021. Cataloged from PDF version of thesis. Includes bibliographical references (pages 22-25). Alzheimer’s Disease (AD) is a neurological condition where the decline of brain cells causes acute memory loss and severe loss in cognitive functionalities. Various Neuroimaging techniques have been developed to diagnose AD; among those, Magnetic Resonance Imaging (MRI) is one of the most prominent ones. Recent progress in medical image analysis using deep learning especially has automated this task significantly. Although the state-of-the-art architectures have achieved human-level performance in classifying AD images from Normal Control (NC), they often require predefined Regions of interest as a basis for feature extraction. This condition not only requires specialized domain knowledge of the human brain but also makes the overall design complicated. In this study, we designed a 15 layer Neural network architecture that can facilitate AD diagnosis without being dependent on any such neurological assumption. The network was tested over ADNI-1, a benchmark MRI dataset for AD research, and found an accuracy of 92.41% (AUC = 0.93). This network was further augmented with the help of ensemble learning other well known pre trained models for more accurate and consistent results, resulting in an overall accuracy of 92.44% for the entire system. Riasat Mahbub Muhammad Anwarul Azim Khondaker Masfiq Reza Md Nafiz Ishtiaque Mahee MD. Zahidul Islam Sanjid B. Computer Science 2022-05-11T04:50:15Z 2022-05-11T04:50:15Z 2021 2021-09 Thesis ID 17201146 ID 18101624 ID 18301104 ID 18101489 ID 18101564 http://hdl.handle.net/10361/16588 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. 25 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Alzheimer’s disease Magnetic resonance imaging Convolutional neural network (CNN) Neural networks (Computer science) Computer networks |
| spellingShingle |
Alzheimer’s disease Magnetic resonance imaging Convolutional neural network (CNN) Neural networks (Computer science) Computer networks Mahbub, Riasat Azim, Muhammad Anwarul Reza, Khondaker Masfiq Mahee, Md Nafiz Ishtiaque MD. Zahidul Islam Sanjid Design and evaluation of convolutional neural network for detection of Alzheimer’s disease using MRI data |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021. |
| author2 |
Parvez, Mohammad Zavid |
| author_facet |
Parvez, Mohammad Zavid Mahbub, Riasat Azim, Muhammad Anwarul Reza, Khondaker Masfiq Mahee, Md Nafiz Ishtiaque MD. Zahidul Islam Sanjid |
| format |
Thesis |
| author |
Mahbub, Riasat Azim, Muhammad Anwarul Reza, Khondaker Masfiq Mahee, Md Nafiz Ishtiaque MD. Zahidul Islam Sanjid |
| author_sort |
Mahbub, Riasat |
| title |
Design and evaluation of convolutional neural network for detection of Alzheimer’s disease using MRI data |
| title_short |
Design and evaluation of convolutional neural network for detection of Alzheimer’s disease using MRI data |
| title_full |
Design and evaluation of convolutional neural network for detection of Alzheimer’s disease using MRI data |
| title_fullStr |
Design and evaluation of convolutional neural network for detection of Alzheimer’s disease using MRI data |
| title_full_unstemmed |
Design and evaluation of convolutional neural network for detection of Alzheimer’s disease using MRI data |
| title_sort |
design and evaluation of convolutional neural network for detection of alzheimer’s disease using mri data |
| publisher |
Brac University |
| publishDate |
2022 |
| url |
http://hdl.handle.net/10361/16588 |
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