An efficient ML approach to detect brain tumor using MRI images
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.
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Brac University
2024
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| Acesso em linha: | http://hdl.handle.net/10361/22904 |
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10361-229042024-05-23T21:04:20Z An efficient ML approach to detect brain tumor using MRI images Muktadir, MD. Arafat Ullah, A.S.M Rahmat Hossain, Emdad Islam, MD. Jubayer Munny, Tanjila Akter Alam, Md. Ashraful Department of Computer Science and Engineering, Brac University Brain tumor Machine learning Deep neural network Magnetic resonance imaging Neural networks (Computer science) Deep learning (Machine learning) Magnetic resonance imaging. This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023. Cataloged from PDF version of thesis. Includes bibliographical references (pages 34-35). Brain tumors have become the most leading causes of death worldwide. Brain tumors can be fatal, have a severe impact on quality of life, and completely alter a patient’s and their loved ones’ lives. Early diagnosis of brain tumors is really important as they spread quickly. But one of the most challenging tasks in medical image processing is tumor detection. Medical data has revealed that manual classification with human assistance can result in incorrect prediction and diagnosis. Magnetic resonance imaging (MRI) is the most effective method for finding brain tumors. Recently, deep learning algorithms have shown promising outcomes for enhancing the efficiency of brain tumor detection and identification from MRI. CNNs are highly common in deep learning, where they are used to solve many image processing, computer vision, and emerging area challenges. The technique CNN performs is to obtain an image, assign it a weight based on the various elements in the image, and then separate them from one another. In our paper our main target will be the detection of brain tumor and classify the tumor stages from the image segmentation using Image Processing, Deep Learning, CNN. MD. Arafat Muktadir A.S.M Rahmat Ullah Emdad Hossain MD. Jubayer Islam Tanjila Akter Munny B.Sc in Computer Science 2024-05-23T10:25:18Z 2024-05-23T10:25:18Z ©2023 2023-05 Thesis ID 20101373 ID 18301142 ID 17301053 ID 16101196 ID 17301071 http://hdl.handle.net/10361/22904 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. 45 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Brain tumor Machine learning Deep neural network Magnetic resonance imaging Neural networks (Computer science) Deep learning (Machine learning) Magnetic resonance imaging. |
| spellingShingle |
Brain tumor Machine learning Deep neural network Magnetic resonance imaging Neural networks (Computer science) Deep learning (Machine learning) Magnetic resonance imaging. Muktadir, MD. Arafat Ullah, A.S.M Rahmat Hossain, Emdad Islam, MD. Jubayer Munny, Tanjila Akter An efficient ML approach to detect brain tumor using MRI images |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023. |
| author2 |
Alam, Md. Ashraful |
| author_facet |
Alam, Md. Ashraful Muktadir, MD. Arafat Ullah, A.S.M Rahmat Hossain, Emdad Islam, MD. Jubayer Munny, Tanjila Akter |
| format |
Thesis |
| author |
Muktadir, MD. Arafat Ullah, A.S.M Rahmat Hossain, Emdad Islam, MD. Jubayer Munny, Tanjila Akter |
| author_sort |
Muktadir, MD. Arafat |
| title |
An efficient ML approach to detect brain tumor using MRI images |
| title_short |
An efficient ML approach to detect brain tumor using MRI images |
| title_full |
An efficient ML approach to detect brain tumor using MRI images |
| title_fullStr |
An efficient ML approach to detect brain tumor using MRI images |
| title_full_unstemmed |
An efficient ML approach to detect brain tumor using MRI images |
| title_sort |
efficient ml approach to detect brain tumor using mri images |
| publisher |
Brac University |
| publishDate |
2024 |
| url |
http://hdl.handle.net/10361/22904 |
| work_keys_str_mv |
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