Detection and 3D visualization of Brain tumor using deep learning and polynomial interpolation
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019.
| Κύριοι συγγραφείς: | , , , |
|---|---|
| Άλλοι συγγραφείς: | |
| Μορφή: | Thesis |
| Γλώσσα: | English |
| Έκδοση: |
Brac University
2019
|
| Θέματα: | |
| Διαθέσιμο Online: | http://hdl.handle.net/10361/12301 |
| id |
10361-12301 |
|---|---|
| record_format |
dspace |
| spelling |
10361-123012022-01-26T10:20:08Z Detection and 3D visualization of Brain tumor using deep learning and polynomial interpolation Tuhin, Md. Akram Hossan Pramanick, Tarunya Emon, Humayoun Kabir Rahman, Wasiur Alam, Md. Ashraful Department of Computer Science and Engineering, Brac University 3D visualization Brain Tumor Deep learning Polynomial interpolation Otsu's multithresholding Segmentation Three-dimensional imaging Information visualization This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019. Cataloged from PDF version of thesis. Includes bibliographical references (pages 41-43). Among di erent imaging techniques MRI, MRSI and CT scans are some of the widely use techniques to visualize brain structures to point out brain anomalies especially brain tumor. Identi cation of brain tumor accurately in clinical practices has always been a hard decision for neurologist as multiple exceptions might present in images which may lead dubious suggestion from neurologist.In our proposed model we are aiming towards brain tumor detection and 3d visualization of tumor more accurately in e cient way. Our proposed model composed of three stages such as classi cation of image using CNN whether any tumor exists of not; segmentation using multi thresholding to extract the detected tumor; and 3d visualization using polynomial interpolation. the proposed model enables enhancing the accuracy of tumor detection as compare to existing models as well as segmenting and 3d visualizing the detected tumor. we get 85% accuracy on our model comparing with others which is slightly more e cient in terms of classi cation and detection. Md. Akram Hossan Tuhin Tarunya Pramanick Humayoun Kabir Emon Wasiur Rahman B. Computer Science and Engineering 2019-07-03T09:01:01Z 2019-07-03T09:01:01Z 2019 2019-04 Thesis ID 14301079 ID 15101087 ID 18241051 ID 14301102 http://hdl.handle.net/10361/12301 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. 47 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
3D visualization Brain Tumor Deep learning Polynomial interpolation Otsu's multithresholding Segmentation Three-dimensional imaging Information visualization |
| spellingShingle |
3D visualization Brain Tumor Deep learning Polynomial interpolation Otsu's multithresholding Segmentation Three-dimensional imaging Information visualization Tuhin, Md. Akram Hossan Pramanick, Tarunya Emon, Humayoun Kabir Rahman, Wasiur Detection and 3D visualization of Brain tumor using deep learning and polynomial interpolation |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019. |
| author2 |
Alam, Md. Ashraful |
| author_facet |
Alam, Md. Ashraful Tuhin, Md. Akram Hossan Pramanick, Tarunya Emon, Humayoun Kabir Rahman, Wasiur |
| format |
Thesis |
| author |
Tuhin, Md. Akram Hossan Pramanick, Tarunya Emon, Humayoun Kabir Rahman, Wasiur |
| author_sort |
Tuhin, Md. Akram Hossan |
| title |
Detection and 3D visualization of Brain tumor using deep learning and polynomial interpolation |
| title_short |
Detection and 3D visualization of Brain tumor using deep learning and polynomial interpolation |
| title_full |
Detection and 3D visualization of Brain tumor using deep learning and polynomial interpolation |
| title_fullStr |
Detection and 3D visualization of Brain tumor using deep learning and polynomial interpolation |
| title_full_unstemmed |
Detection and 3D visualization of Brain tumor using deep learning and polynomial interpolation |
| title_sort |
detection and 3d visualization of brain tumor using deep learning and polynomial interpolation |
| publisher |
Brac University |
| publishDate |
2019 |
| url |
http://hdl.handle.net/10361/12301 |
| work_keys_str_mv |
AT tuhinmdakramhossan detectionand3dvisualizationofbraintumorusingdeeplearningandpolynomialinterpolation AT pramanicktarunya detectionand3dvisualizationofbraintumorusingdeeplearningandpolynomialinterpolation AT emonhumayounkabir detectionand3dvisualizationofbraintumorusingdeeplearningandpolynomialinterpolation AT rahmanwasiur detectionand3dvisualizationofbraintumorusingdeeplearningandpolynomialinterpolation |
| _version_ |
1814309278936203264 |