Can AI Help in Screening Viral and COVID-19 Pneumonia?
<p>Coronavirus disease (COVID-19) is a pandemic disease, which has already caused thousands of causalities and infected several millions of people worldwide. Any technological tool enabling rapid screening of the COVID-19 infection with high accuracy can be crucially helpful to the healthcare...
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2020
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| _version_ | 1864513561719472128 |
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| author | Muhammad E. H. Chowdhury (14150526) |
| author2 | Tawsifur Rahman (14150523) Amith Khandakar (14151981) Rashid Mazhar (14571265) Muhammad Abdul Kadir (16869963) Zaid Bin Mahbub (16869975) Khandakar Reajul Islam (16875927) Muhammad Salman Khan (7202543) Atif Iqbal (5504636) Nasser Al Emadi (16875930) Mamun Bin Ibne Reaz (16875933) Mohammad Tariqul Islam (7854059) |
| author2_role | author author author author author author author author author author author |
| author_facet | Muhammad E. H. Chowdhury (14150526) Tawsifur Rahman (14150523) Amith Khandakar (14151981) Rashid Mazhar (14571265) Muhammad Abdul Kadir (16869963) Zaid Bin Mahbub (16869975) Khandakar Reajul Islam (16875927) Muhammad Salman Khan (7202543) Atif Iqbal (5504636) Nasser Al Emadi (16875930) Mamun Bin Ibne Reaz (16875933) Mohammad Tariqul Islam (7854059) |
| author_role | author |
| dc.creator.none.fl_str_mv | Muhammad E. H. Chowdhury (14150526) Tawsifur Rahman (14150523) Amith Khandakar (14151981) Rashid Mazhar (14571265) Muhammad Abdul Kadir (16869963) Zaid Bin Mahbub (16869975) Khandakar Reajul Islam (16875927) Muhammad Salman Khan (7202543) Atif Iqbal (5504636) Nasser Al Emadi (16875930) Mamun Bin Ibne Reaz (16875933) Mohammad Tariqul Islam (7854059) |
| dc.date.none.fl_str_mv | 2020-07-20T00:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1109/access.2020.3010287 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Can_AI_Help_in_Screening_Viral_and_COVID-19_Pneumonia_/24025167 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biomedical and clinical sciences Cardiovascular medicine and haematology Clinical sciences Information and computing sciences Artificial intelligence Data management and data science Machine learning Diseases Lung Databases X-ray imaging Machine learning Tools COVID-19 Artificial intelligence COVID-19 pneumonia Transfer learning Viral pneumonia Computer-aided diagnostic tool |
| dc.title.none.fl_str_mv | Can AI Help in Screening Viral and COVID-19 Pneumonia? |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p>Coronavirus disease (COVID-19) is a pandemic disease, which has already caused thousands of causalities and infected several millions of people worldwide. Any technological tool enabling rapid screening of the COVID-19 infection with high accuracy can be crucially helpful to the healthcare professionals. The main clinical tool currently in use for the diagnosis of COVID-19 is the Reverse transcription polymerase chain reaction (RT-PCR), which is expensive, less-sensitive and requires specialized medical personnel. X-ray imaging is an easily accessible tool that can be an excellent alternative in the COVID-19 diagnosis. This research was taken to investigate the utility of artificial intelligence (AI) in the rapid and accurate detection of COVID-19 from chest X-ray images. The aim of this paper is to propose a robust technique for automatic detection of COVID-19 pneumonia from digital chest X-ray images applying pre-trained deep-learning algorithms while maximizing the detection accuracy. A public database was created by the authors combining several public databases and also by collecting images from recently published articles. The database contains a mixture of 423 COVID-19, 1485 viral pneumonia, and 1579 normal chest X-ray images. Transfer learning technique was used with the help of image augmentation to train and validate several pre-trained deep Convolutional Neural Networks (CNNs). The networks were trained to classify two different schemes: i) normal and COVID-19 pneumonia; ii) normal, viral and COVID-19 pneumonia with and without image augmentation. The classification accuracy, precision, sensitivity, and specificity for both the schemes were 99.7%, 99.7%, 99.7% and 99.55% and 97.9%, 97.95%, 97.9%, and 98.8%, respectively. The high accuracy of this computer-aided diagnostic tool can significantly improve the speed and accuracy of COVID-19 diagnosis. This would be extremely useful in this pandemic where disease burden and need for preventive measures are at odds with available resources.</p><h3>Other Information</h3><p>Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/legalcode" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2020.3010287" target="_blank">https://dx.doi.org/10.1109/access.2020.3010287</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_f10f0d9a6e436fcd4ee1fe063ddb83e3 |
| identifier_str_mv | 10.1109/access.2020.3010287 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/24025167 |
| publishDate | 2020 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Can AI Help in Screening Viral and COVID-19 Pneumonia?Muhammad E. H. Chowdhury (14150526)Tawsifur Rahman (14150523)Amith Khandakar (14151981)Rashid Mazhar (14571265)Muhammad Abdul Kadir (16869963)Zaid Bin Mahbub (16869975)Khandakar Reajul Islam (16875927)Muhammad Salman Khan (7202543)Atif Iqbal (5504636)Nasser Al Emadi (16875930)Mamun Bin Ibne Reaz (16875933)Mohammad Tariqul Islam (7854059)Biomedical and clinical sciencesCardiovascular medicine and haematologyClinical sciencesInformation and computing sciencesArtificial intelligenceData management and data scienceMachine learningDiseasesLungDatabasesX-ray imagingMachine learningToolsCOVID-19Artificial intelligenceCOVID-19 pneumoniaTransfer learningViral pneumoniaComputer-aided diagnostic tool<p>Coronavirus disease (COVID-19) is a pandemic disease, which has already caused thousands of causalities and infected several millions of people worldwide. Any technological tool enabling rapid screening of the COVID-19 infection with high accuracy can be crucially helpful to the healthcare professionals. The main clinical tool currently in use for the diagnosis of COVID-19 is the Reverse transcription polymerase chain reaction (RT-PCR), which is expensive, less-sensitive and requires specialized medical personnel. X-ray imaging is an easily accessible tool that can be an excellent alternative in the COVID-19 diagnosis. This research was taken to investigate the utility of artificial intelligence (AI) in the rapid and accurate detection of COVID-19 from chest X-ray images. The aim of this paper is to propose a robust technique for automatic detection of COVID-19 pneumonia from digital chest X-ray images applying pre-trained deep-learning algorithms while maximizing the detection accuracy. A public database was created by the authors combining several public databases and also by collecting images from recently published articles. The database contains a mixture of 423 COVID-19, 1485 viral pneumonia, and 1579 normal chest X-ray images. Transfer learning technique was used with the help of image augmentation to train and validate several pre-trained deep Convolutional Neural Networks (CNNs). The networks were trained to classify two different schemes: i) normal and COVID-19 pneumonia; ii) normal, viral and COVID-19 pneumonia with and without image augmentation. The classification accuracy, precision, sensitivity, and specificity for both the schemes were 99.7%, 99.7%, 99.7% and 99.55% and 97.9%, 97.95%, 97.9%, and 98.8%, respectively. The high accuracy of this computer-aided diagnostic tool can significantly improve the speed and accuracy of COVID-19 diagnosis. This would be extremely useful in this pandemic where disease burden and need for preventive measures are at odds with available resources.</p><h3>Other Information</h3><p>Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/legalcode" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2020.3010287" target="_blank">https://dx.doi.org/10.1109/access.2020.3010287</a></p>2020-07-20T00:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1109/access.2020.3010287https://figshare.com/articles/journal_contribution/Can_AI_Help_in_Screening_Viral_and_COVID-19_Pneumonia_/24025167CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/240251672020-07-20T00:00:00Z |
| spellingShingle | Can AI Help in Screening Viral and COVID-19 Pneumonia? Muhammad E. H. Chowdhury (14150526) Biomedical and clinical sciences Cardiovascular medicine and haematology Clinical sciences Information and computing sciences Artificial intelligence Data management and data science Machine learning Diseases Lung Databases X-ray imaging Machine learning Tools COVID-19 Artificial intelligence COVID-19 pneumonia Transfer learning Viral pneumonia Computer-aided diagnostic tool |
| status_str | publishedVersion |
| title | Can AI Help in Screening Viral and COVID-19 Pneumonia? |
| title_full | Can AI Help in Screening Viral and COVID-19 Pneumonia? |
| title_fullStr | Can AI Help in Screening Viral and COVID-19 Pneumonia? |
| title_full_unstemmed | Can AI Help in Screening Viral and COVID-19 Pneumonia? |
| title_short | Can AI Help in Screening Viral and COVID-19 Pneumonia? |
| title_sort | Can AI Help in Screening Viral and COVID-19 Pneumonia? |
| topic | Biomedical and clinical sciences Cardiovascular medicine and haematology Clinical sciences Information and computing sciences Artificial intelligence Data management and data science Machine learning Diseases Lung Databases X-ray imaging Machine learning Tools COVID-19 Artificial intelligence COVID-19 pneumonia Transfer learning Viral pneumonia Computer-aided diagnostic tool |