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Covid-19 classification using sigmoid based hyper-parameter modified DNN for CT scans and chest X-rays
Coronavirus disease (COVID-19) is an infectious disease caused by the SARS-CoV-2 virus. Diagnosis of Computed Tomography (CT), and Chest X-rays (CXR) contains the problem of overfitting, earlier diagnosis, and mode collapse. In this work, we predict the classification of the Corona in CT and CXR ima...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9485800/ https://www.ncbi.nlm.nih.gov/pubmed/36157352 http://dx.doi.org/10.1007/s11042-022-13783-2 |
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author | Anilkumar, B Srividya, K Mary Sowjanya, A |
author_facet | Anilkumar, B Srividya, K Mary Sowjanya, A |
author_sort | Anilkumar, B |
collection | PubMed |
description | Coronavirus disease (COVID-19) is an infectious disease caused by the SARS-CoV-2 virus. Diagnosis of Computed Tomography (CT), and Chest X-rays (CXR) contains the problem of overfitting, earlier diagnosis, and mode collapse. In this work, we predict the classification of the Corona in CT and CXR images. Initially, the images of the dataset are pre-processed using the function of an adaptive Gaussian filter for de-nosing the image. Once the image is pre-processed it goes to Sigmoid Based Hyper-Parameter Modified DNN(SHMDNN). The hyperparameter modification makes use of the optimization algorithm of adaptive grey wolf optimization (AGWO). Finally, classification takes place and classifies the CT and CXR images into 3 categories namely normal, Pneumonia, and COVID-19 images. Better accuracy of 99.9% is reached when compared to different DNN networks. |
format | Online Article Text |
id | pubmed-9485800 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-94858002022-09-21 Covid-19 classification using sigmoid based hyper-parameter modified DNN for CT scans and chest X-rays Anilkumar, B Srividya, K Mary Sowjanya, A Multimed Tools Appl Article Coronavirus disease (COVID-19) is an infectious disease caused by the SARS-CoV-2 virus. Diagnosis of Computed Tomography (CT), and Chest X-rays (CXR) contains the problem of overfitting, earlier diagnosis, and mode collapse. In this work, we predict the classification of the Corona in CT and CXR images. Initially, the images of the dataset are pre-processed using the function of an adaptive Gaussian filter for de-nosing the image. Once the image is pre-processed it goes to Sigmoid Based Hyper-Parameter Modified DNN(SHMDNN). The hyperparameter modification makes use of the optimization algorithm of adaptive grey wolf optimization (AGWO). Finally, classification takes place and classifies the CT and CXR images into 3 categories namely normal, Pneumonia, and COVID-19 images. Better accuracy of 99.9% is reached when compared to different DNN networks. Springer US 2022-09-20 2023 /pmc/articles/PMC9485800/ /pubmed/36157352 http://dx.doi.org/10.1007/s11042-022-13783-2 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Anilkumar, B Srividya, K Mary Sowjanya, A Covid-19 classification using sigmoid based hyper-parameter modified DNN for CT scans and chest X-rays |
title | Covid-19 classification using sigmoid based hyper-parameter modified DNN for CT scans and chest X-rays |
title_full | Covid-19 classification using sigmoid based hyper-parameter modified DNN for CT scans and chest X-rays |
title_fullStr | Covid-19 classification using sigmoid based hyper-parameter modified DNN for CT scans and chest X-rays |
title_full_unstemmed | Covid-19 classification using sigmoid based hyper-parameter modified DNN for CT scans and chest X-rays |
title_short | Covid-19 classification using sigmoid based hyper-parameter modified DNN for CT scans and chest X-rays |
title_sort | covid-19 classification using sigmoid based hyper-parameter modified dnn for ct scans and chest x-rays |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9485800/ https://www.ncbi.nlm.nih.gov/pubmed/36157352 http://dx.doi.org/10.1007/s11042-022-13783-2 |
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