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.

Bibliographische Detailangaben
Hauptverfasser: Rafi, Ahmad Abdur, Mahmud, Muhtasim, Pranto, Sakib Dewan, Rahman, Sayemur, Chowdhury, Shihab Rumee
Weitere Verfasser: Alam, Md. Golam Rabiul
Format: Abschlussarbeit
Sprache:English
Veröffentlicht: Brac University 2023
Schlagworte:
Online Zugang:http://hdl.handle.net/10361/21911
id 10361-21911
record_format dspace
spelling 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
collection 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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