Comparison of different CNN architectures for brain tumor detection using fMRI
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.
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Brac University
2021
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| 在線閱讀: | http://dspace.bracu.ac.bd/xmlui/handle/10361/14456 |
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10361-144562022-01-26T10:21:52Z Comparison of different CNN architectures for brain tumor detection using fMRI Mashiat, Afsara Akhlaque, Reza Rifat Fariha, Fahmeda Hasan Patwary, Md Shawkat Hossain Parvez, Mohammad Zavid Reza, Md Tanzim Department of Computer Science and Engineering, Brac University CNN fMRI Tumor Machine learning Deeper architecture Classification This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020. Cataloged from PDF version of thesis. Includes bibliographical references (pages 52-59). Brain is the most vital organ of human body which controls the entire nervous system of human body. In that case, if anything goes wrong inside our brain the entire nervous system gets collapsed. The brain tumors are the most severe and harmful disease, resulting in a very short life expectancy of the affected patient. Thus, ensuring proper treatment at the early stage is the way to provide the quality of life of patients. Detection of brain tumor is a challenging task in the early stages but with the help of modern technology and machine learning algorithms, it has become a matter of great interest. While detecting brain tumor of an affected person we are considering the fMRI data of patient. Our task is to identify whether the tumor is present in patient’s brain or not. Our machine learning algorithm will be convolutional neural network(CNN) that is good enough to generate higher accuracy. We have used some deeper architecture design VGG16 and VGG19 for the better accuracy and comparison purpose. We have done three kinds of classification with these architectures, they are binary classification, five Class Brain Lobe Classification,4 position classification. These different architectures will produce different accuracy level through CNN. Different architectures with different classification will help to find that which one of them meets up the best accuracy level. Afsara Mashiat Reza Rifat Akhlaque Fahmeda Hasan Fariha Md Shawkat Hossain Patwary B. Computer Science 2021-05-30T06:34:39Z 2021-05-30T06:34:39Z 2020 2020-04 Thesis ID: 16101207 ID: 16101081 ID: 16301060 ID: 16101209 http://dspace.bracu.ac.bd/xmlui/handle/10361/14456 en_US 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. 59 Pages application/pdf Brac University |
| institution |
Brac University |
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Institutional Repository |
| language |
en_US |
| topic |
CNN fMRI Tumor Machine learning Deeper architecture Classification |
| spellingShingle |
CNN fMRI Tumor Machine learning Deeper architecture Classification Mashiat, Afsara Akhlaque, Reza Rifat Fariha, Fahmeda Hasan Patwary, Md Shawkat Hossain Comparison of different CNN architectures for brain tumor detection using fMRI |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020. |
| author2 |
Parvez, Mohammad Zavid |
| author_facet |
Parvez, Mohammad Zavid Mashiat, Afsara Akhlaque, Reza Rifat Fariha, Fahmeda Hasan Patwary, Md Shawkat Hossain |
| format |
Thesis |
| author |
Mashiat, Afsara Akhlaque, Reza Rifat Fariha, Fahmeda Hasan Patwary, Md Shawkat Hossain |
| author_sort |
Mashiat, Afsara |
| title |
Comparison of different CNN architectures for brain tumor detection using fMRI |
| title_short |
Comparison of different CNN architectures for brain tumor detection using fMRI |
| title_full |
Comparison of different CNN architectures for brain tumor detection using fMRI |
| title_fullStr |
Comparison of different CNN architectures for brain tumor detection using fMRI |
| title_full_unstemmed |
Comparison of different CNN architectures for brain tumor detection using fMRI |
| title_sort |
comparison of different cnn architectures for brain tumor detection using fmri |
| publisher |
Brac University |
| publishDate |
2021 |
| url |
http://dspace.bracu.ac.bd/xmlui/handle/10361/14456 |
| work_keys_str_mv |
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1814309565841276928 |