Brain tumor detection through image processing
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.
| প্রধান লেখক: | , , , , |
|---|---|
| অন্যান্য লেখক: | |
| বিন্যাস: | গবেষণাপত্র |
| ভাষা: | English |
| প্রকাশিত: |
Brac University
2021
|
| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | http://hdl.handle.net/10361/15394 |
| id |
10361-15394 |
|---|---|
| record_format |
dspace |
| spelling |
10361-153942022-01-26T10:10:24Z Brain tumor detection through image processing Azmim, Tahaziba Shumon, Azizul Hakim chy. Alam, Maksud Mishu, Saurav Ahmed Chowdhury, Nuhash Ahmed Akhond, Mostafijur Rahman Image Processing Cell multiplication Tumor detection Template- based K means algorithm Threshold segmentation Machine learning Statistical approach Deep neural network Algorithms Deep learning Precision Neural network Algorithms 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 36-37). Begin with image processing for technology to detect brain tumors. I.e. (The identification of tumor/cancer cells from brain images is primarily based on image recognition methods, since these images are complex and human eyes are not ideal for interpreting the transformed cells with several degrees of changes). There are different types of instruments to help diagnose brain tumors, such as MRI scans, CT scans, etc. The device that can detect any organ and brain problem is MRI (Magnetic Resonance Imaging). Segmentation cell multiplication is an important strategy for processing brain tumor images. The segmentation or multiplication of cells will recognize the tumor along with its neighboring compartments and nearby tissues, but it is difficult enough to repair and shape the morphological changes caused by the tumor. Even though there are a number of current works on the subject. Many methods, such as template-based K means algorithm, fuzzy logic algorithms, threshold segmentation, etc., have been used to establish image processing, but the precision of the performance rate is still not up to the mark. In our proposed methodology our main purpose is to get a more clear image form MRI. We would try to use CNN algorithm which is more flexible and convenient. That will detect the position of the tumor automatically. This proposed methodology will be more efficient and faster to identify the tumor region and also it will be more effective and accurate for brain tumor detection and segmentation. Our main focus is on the methods used to identify brain tumors through image segmentation. Tahaziba Azmim Azizul Hakim chy.Shumon Maksud Alam Saurav Ahmed Mishu Nuhash Ahmed Chowdhury B. Computer Science 2021-10-19T04:20:38Z 2021-10-19T04:20:38Z 2021 2021-01 Thesis ID 17301019 ID 18301300 ID 16201033 ID 16201022 ID 16301037 http://hdl.handle.net/10361/15394 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. 37 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Image Processing Cell multiplication Tumor detection Template- based K means algorithm Threshold segmentation Machine learning Statistical approach Deep neural network Algorithms Deep learning Precision Neural network Algorithms |
| spellingShingle |
Image Processing Cell multiplication Tumor detection Template- based K means algorithm Threshold segmentation Machine learning Statistical approach Deep neural network Algorithms Deep learning Precision Neural network Algorithms Azmim, Tahaziba Shumon, Azizul Hakim chy. Alam, Maksud Mishu, Saurav Ahmed Chowdhury, Nuhash Ahmed Brain tumor detection through image processing |
| 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 |
Akhond, Mostafijur Rahman |
| author_facet |
Akhond, Mostafijur Rahman Azmim, Tahaziba Shumon, Azizul Hakim chy. Alam, Maksud Mishu, Saurav Ahmed Chowdhury, Nuhash Ahmed |
| format |
Thesis |
| author |
Azmim, Tahaziba Shumon, Azizul Hakim chy. Alam, Maksud Mishu, Saurav Ahmed Chowdhury, Nuhash Ahmed |
| author_sort |
Azmim, Tahaziba |
| title |
Brain tumor detection through image processing |
| title_short |
Brain tumor detection through image processing |
| title_full |
Brain tumor detection through image processing |
| title_fullStr |
Brain tumor detection through image processing |
| title_full_unstemmed |
Brain tumor detection through image processing |
| title_sort |
brain tumor detection through image processing |
| publisher |
Brac University |
| publishDate |
2021 |
| url |
http://hdl.handle.net/10361/15394 |
| work_keys_str_mv |
AT azmimtahaziba braintumordetectionthroughimageprocessing AT shumonazizulhakimchy braintumordetectionthroughimageprocessing AT alammaksud braintumordetectionthroughimageprocessing AT mishusauravahmed braintumordetectionthroughimageprocessing AT chowdhurynuhashahmed braintumordetectionthroughimageprocessing |
| _version_ |
1814307643714437120 |