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A Review on Detection of Pneumonia in Chest X-ray Images Using Neural Networks

The health organisation has suffered from the lack of diagnosis support systems and physicians in India. Further, the physicians are struggling to treat many patients, and the hospitals also have the lack of a radiologist especially in rural areas; thus, almost all cases are handled by a single phys...

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Detalles Bibliográficos
Autores principales: Alapat, Daniel Joseph, Menon, Malavika Venu, Ashok, Sharmila
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Shiraz University of Medical Sciences 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9759647/
https://www.ncbi.nlm.nih.gov/pubmed/36569568
http://dx.doi.org/10.31661/jbpe.v0i0.2202-1461
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author Alapat, Daniel Joseph
Menon, Malavika Venu
Ashok, Sharmila
author_facet Alapat, Daniel Joseph
Menon, Malavika Venu
Ashok, Sharmila
author_sort Alapat, Daniel Joseph
collection PubMed
description The health organisation has suffered from the lack of diagnosis support systems and physicians in India. Further, the physicians are struggling to treat many patients, and the hospitals also have the lack of a radiologist especially in rural areas; thus, almost all cases are handled by a single physician, leading to many misdiagnoses. Computer aided diagnostic systems are being developed to address this problem. The current study aimed to review the different methods to detect pneumonia using neural networks and compare their approach and results. For the best comparisons, only papers with the same data set Chest X-ray14 are studied.
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spelling pubmed-97596472022-12-23 A Review on Detection of Pneumonia in Chest X-ray Images Using Neural Networks Alapat, Daniel Joseph Menon, Malavika Venu Ashok, Sharmila J Biomed Phys Eng Review Article The health organisation has suffered from the lack of diagnosis support systems and physicians in India. Further, the physicians are struggling to treat many patients, and the hospitals also have the lack of a radiologist especially in rural areas; thus, almost all cases are handled by a single physician, leading to many misdiagnoses. Computer aided diagnostic systems are being developed to address this problem. The current study aimed to review the different methods to detect pneumonia using neural networks and compare their approach and results. For the best comparisons, only papers with the same data set Chest X-ray14 are studied. Shiraz University of Medical Sciences 2022-12-01 /pmc/articles/PMC9759647/ /pubmed/36569568 http://dx.doi.org/10.31661/jbpe.v0i0.2202-1461 Text en Copyright: © Journal of Biomedical Physics and Engineering https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 Unported License, ( http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Alapat, Daniel Joseph
Menon, Malavika Venu
Ashok, Sharmila
A Review on Detection of Pneumonia in Chest X-ray Images Using Neural Networks
title A Review on Detection of Pneumonia in Chest X-ray Images Using Neural Networks
title_full A Review on Detection of Pneumonia in Chest X-ray Images Using Neural Networks
title_fullStr A Review on Detection of Pneumonia in Chest X-ray Images Using Neural Networks
title_full_unstemmed A Review on Detection of Pneumonia in Chest X-ray Images Using Neural Networks
title_short A Review on Detection of Pneumonia in Chest X-ray Images Using Neural Networks
title_sort review on detection of pneumonia in chest x-ray images using neural networks
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9759647/
https://www.ncbi.nlm.nih.gov/pubmed/36569568
http://dx.doi.org/10.31661/jbpe.v0i0.2202-1461
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