An efficient deep learning approach to detect COVID-19 infected lungs using image data

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.

Dades bibliogràfiques
Autors principals:	Kabir, Asif Rezwan, Roy, Shutirtha, Zerin, Nusrat, Afrin, Sheikh Sharia, Choudhury, Anika Jahan
Altres autors:	Alam, Md. Ashraful
Format:	Thesis
Idioma:	English
Publicat:	Brac University 2022
Matèries:	Covid-19 CNN Supervised learning X-ray image Tensorflow Neural networks (Computer science)
Accés en línia:	http://hdl.handle.net/10361/16785

id	10361-16785
record_format	dspace
spelling	10361-167852022-06-01T21:03:48Z An efficient deep learning approach to detect COVID-19 infected lungs using image data Kabir, Asif Rezwan Roy, Shutirtha Zerin, Nusrat Afrin, Sheikh Sharia Choudhury, Anika Jahan Alam, Md. Ashraful Reza, Md. Tanzim Department of Computer Science and Engineering, Brac University Covid-19 CNN Supervised learning X-ray image Tensorflow Neural networks (Computer science) This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022. Cataloged from PDF version of thesis. Includes bibliographical references (pages 34-35). The beginning of 2020 will always be a dreadful chapter in human history. Even with all the recent advancements in the medical sector, the COVID-19 virus proved to be a major challenge for doctors all over the world. The virus affected different people in different ways. One of its deadliest symptoms can be observed in our lungs. COVID-19 can cause various complications in the lungs such as pneumonia, acute respiratory distress syndrome (ARDS), sepsis, etc. This pandemic, being highly contagious, can spread and affect a large number of the population in a very short period. This results in many patients not receiving proper treatment at the appropriate time. Our proposed CNN model will be able to automate the entire detection and classification process. It will be trained using large amounts of Xray images of lungs, which will provide it with the necessary feature knowledge to distinguish between an infected lung and a healthy one. Asif Rezwan Kabir Shutirtha Roy Nusrat Zerin Sheikh Sharia Afrin Anika Jahan Choudhury B. Computer Science 2022-06-01T05:19:10Z 2022-06-01T05:19:10Z 2022 2022-01 Thesis ID 18301230 ID 18301028 ID 18101533 ID 18101528 ID 18301016 http://hdl.handle.net/10361/16785 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. 35 pages application/pdf Brac University
institution	Brac University
collection	Institutional Repository
language	English
topic	Covid-19 CNN Supervised learning X-ray image Tensorflow Neural networks (Computer science)
spellingShingle	Covid-19 CNN Supervised learning X-ray image Tensorflow Neural networks (Computer science) Kabir, Asif Rezwan Roy, Shutirtha Zerin, Nusrat Afrin, Sheikh Sharia Choudhury, Anika Jahan An efficient deep learning approach to detect COVID-19 infected lungs using image data
description	This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.
author2	Alam, Md. Ashraful
author_facet	Alam, Md. Ashraful Kabir, Asif Rezwan Roy, Shutirtha Zerin, Nusrat Afrin, Sheikh Sharia Choudhury, Anika Jahan
format	Thesis
author	Kabir, Asif Rezwan Roy, Shutirtha Zerin, Nusrat Afrin, Sheikh Sharia Choudhury, Anika Jahan
author_sort	Kabir, Asif Rezwan
title	An efficient deep learning approach to detect COVID-19 infected lungs using image data
title_short	An efficient deep learning approach to detect COVID-19 infected lungs using image data
title_full	An efficient deep learning approach to detect COVID-19 infected lungs using image data
title_fullStr	An efficient deep learning approach to detect COVID-19 infected lungs using image data
title_full_unstemmed	An efficient deep learning approach to detect COVID-19 infected lungs using image data
title_sort	efficient deep learning approach to detect covid-19 infected lungs using image data
publisher	Brac University
publishDate	2022
url	http://hdl.handle.net/10361/16785
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An efficient deep learning approach to detect COVID-19 infected lungs using image data

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