Detecting brain tumor using deep neural networks from MRI images
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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| フォーマット: | 学位論文 |
| 言語: | English |
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Brac University
2021
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| オンライン･アクセス: | http://hdl.handle.net/10361/15203 |
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10361-15203 |
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10361-152032022-01-26T10:10:29Z Detecting brain tumor using deep neural networks from MRI images Imamuzzaman, A.S.M. Sakline, Redwan Islam Junaed, Sayed Rafi Hossain, Mohammad Iqbal Das, Dipto Alam, Md. Ashraful Department of Computer Science and Engineering, Brac University CNN VGG16 ResNet50 Brain Tumor Brain Tumor 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 (page 38-39). A brain tumor is a collection of abnormal cells growth in brain. It is a neurological disease which causes great damage and affects other healthy cells of brain. It can be cancerous or non-cancerous. Nowadays, people are more concern about their health issues. So, in this thesis paper we will design and implement an efficient machine learning approach to detect brain tumor from image data. Moreover, the proposed model approaches VGG16 and ResNet50 architectural model of Convolutional Neu ral Network (CNN). Through this model a neurosurgeon can easily detect the brain tumor of a patient with more efficiency. Our proposed model uses MRI images, and we also make a comparison between the two architectures of CNN. A.S.M. Imamuzzaman Redwan Islam Sakline Sayed Rafi Junaed Mohammad Iqbal Hossain Dipto Das B. Computer Science 2021-10-11T05:12:48Z 2021-10-11T05:12:48Z 2021 2021-06 Thesis ID 20141034 ID 16201013 ID 17101064 ID 17101279 ID 17101135 http://hdl.handle.net/10361/15203 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. 39 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
CNN VGG16 ResNet50 Brain Tumor Brain Tumor |
| spellingShingle |
CNN VGG16 ResNet50 Brain Tumor Brain Tumor Imamuzzaman, A.S.M. Sakline, Redwan Islam Junaed, Sayed Rafi Hossain, Mohammad Iqbal Das, Dipto Detecting brain tumor using deep neural networks from MRI images |
| 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 |
Alam, Md. Ashraful |
| author_facet |
Alam, Md. Ashraful Imamuzzaman, A.S.M. Sakline, Redwan Islam Junaed, Sayed Rafi Hossain, Mohammad Iqbal Das, Dipto |
| format |
Thesis |
| author |
Imamuzzaman, A.S.M. Sakline, Redwan Islam Junaed, Sayed Rafi Hossain, Mohammad Iqbal Das, Dipto |
| author_sort |
Imamuzzaman, A.S.M. |
| title |
Detecting brain tumor using deep neural networks from MRI images |
| title_short |
Detecting brain tumor using deep neural networks from MRI images |
| title_full |
Detecting brain tumor using deep neural networks from MRI images |
| title_fullStr |
Detecting brain tumor using deep neural networks from MRI images |
| title_full_unstemmed |
Detecting brain tumor using deep neural networks from MRI images |
| title_sort |
detecting brain tumor using deep neural networks from mri images |
| publisher |
Brac University |
| publishDate |
2021 |
| url |
http://hdl.handle.net/10361/15203 |
| work_keys_str_mv |
AT imamuzzamanasm detectingbraintumorusingdeepneuralnetworksfrommriimages AT saklineredwanislam detectingbraintumorusingdeepneuralnetworksfrommriimages AT junaedsayedrafi detectingbraintumorusingdeepneuralnetworksfrommriimages AT hossainmohammadiqbal detectingbraintumorusingdeepneuralnetworksfrommriimages AT dasdipto detectingbraintumorusingdeepneuralnetworksfrommriimages |
| _version_ |
1814307798289219584 |