Detection of common thorax diseases from X-Ray images using a fusion of transfer and statistical learning method
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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2023
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10361-219112023-12-04T21:02:28Z Detection of common thorax diseases from X-Ray images using a fusion of transfer and statistical learning method Rafi, Ahmad Abdur Mahmud, Muhtasim Pranto, Sakib Dewan Rahman, Sayemur Chowdhury, Shihab Rumee Alam, Md. Golam Rabiul Department of Computer Science and Engineering, Brac University Thorax diseases X-ray images Annotation Transfer learning Fusion model Machine learning Image processing--Digital techniques. 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 47-48). An essential component of medical diagnosis is the precise detection and localization of anomalies in X-rays of the chest images. It is urgently necessary to develop the most precise automated model to identify thorax diseases because the number of patients with thorax diseases is rising worldwide. In order to build a reliable prediction model for such tasks, experts will need to manually label a sizable dataset of X-ray images. Nevertheless, more data is needed to build exact models to detect these diseases automatically. As a result, we’re committed to creating a model that detects the anomalies from thorax X-rays automatically, learning from a small amount of X-ray image data that is publicly available and easy to get. To do so, we propose a fusion model by combining transfer learning and statistical learning methods. The comparative reference baseline was significantly outperformed. We show that the detection of thorax diseases can be improved by using our fusion model, allowing quicker diagnosis and treatment. Ahmad Abdur Rafi Muhtasim Mahmud Sakib Dewan Pranto Sayemur Rahman Shihab Rumee Chowdhury B.Sc. in Computer Science and Engineering 2023-12-04T05:37:08Z 2023-12-04T05:37:08Z 2023 2023-05 Thesis ID 19101023 ID 22241151 ID 19101015 ID 19101210 ID 18201064 http://hdl.handle.net/10361/21911 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. 48 pages application/pdf Brac University |
institution |
Brac University |
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Institutional Repository |
language |
English |
topic |
Thorax diseases X-ray images Annotation Transfer learning Fusion model Machine learning Image processing--Digital techniques. |
spellingShingle |
Thorax diseases X-ray images Annotation Transfer learning Fusion model Machine learning Image processing--Digital techniques. Rafi, Ahmad Abdur Mahmud, Muhtasim Pranto, Sakib Dewan Rahman, Sayemur Chowdhury, Shihab Rumee Detection of common thorax diseases from X-Ray images using a fusion of transfer and statistical learning method |
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. Golam Rabiul |
author_facet |
Alam, Md. Golam Rabiul Rafi, Ahmad Abdur Mahmud, Muhtasim Pranto, Sakib Dewan Rahman, Sayemur Chowdhury, Shihab Rumee |
format |
Thesis |
author |
Rafi, Ahmad Abdur Mahmud, Muhtasim Pranto, Sakib Dewan Rahman, Sayemur Chowdhury, Shihab Rumee |
author_sort |
Rafi, Ahmad Abdur |
title |
Detection of common thorax diseases from X-Ray images using a fusion of transfer and statistical learning method |
title_short |
Detection of common thorax diseases from X-Ray images using a fusion of transfer and statistical learning method |
title_full |
Detection of common thorax diseases from X-Ray images using a fusion of transfer and statistical learning method |
title_fullStr |
Detection of common thorax diseases from X-Ray images using a fusion of transfer and statistical learning method |
title_full_unstemmed |
Detection of common thorax diseases from X-Ray images using a fusion of transfer and statistical learning method |
title_sort |
detection of common thorax diseases from x-ray images using a fusion of transfer and statistical learning method |
publisher |
Brac University |
publishDate |
2023 |
url |
http://hdl.handle.net/10361/21911 |
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