Detection of COVID-19 in Chest X-ray Images: A Big Data Enabled Deep Learning Approach
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Hassantabar, Shayan & Ahmadi, Mohsen & Sharifi, Abbas, 2020. "Diagnosis and detection of infected tissue of COVID-19 patients based on lung x-ray image using convolutional neural network approaches," Chaos, Solitons & Fractals, Elsevier, vol. 140(C).
- Xue-Jing Liu & Gustavo S. Mesch, 2020. "The Adoption of Preventive Behaviors during the COVID-19 Pandemic in China and Israel," IJERPH, MDPI, vol. 17(19), pages 1-18, September.
- Thu T. Nguyen & Shaniece Criss & Pallavi Dwivedi & Dina Huang & Jessica Keralis & Erica Hsu & Lynn Phan & Leah H. Nguyen & Isha Yardi & M. Maria Glymour & Amani M. Allen & David H. Chae & Gilbert C. G, 2020. "Exploring U.S. Shifts in Anti-Asian Sentiment with the Emergence of COVID-19," IJERPH, MDPI, vol. 17(19), pages 1-13, September.
- Ouchicha, Chaimae & Ammor, Ouafae & Meknassi, Mohammed, 2020. "CVDNet: A novel deep learning architecture for detection of coronavirus (Covid-19) from chest x-ray images," Chaos, Solitons & Fractals, Elsevier, vol. 140(C).
- Robert Ilijason, 2020. "Beginning Apache Spark Using Azure Databricks," Springer Books, Springer, number 978-1-4842-5781-4, April.
- Das, Ayan Kumar & Kalam, Sidra & Kumar, Chiranjeev & Sinha, Ditipriya, 2021. "TLCoV- An automated Covid-19 screening model using Transfer Learning from chest X-ray images," Chaos, Solitons & Fractals, Elsevier, vol. 144(C).
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Salem Ahmed Alabdali & Salvatore Flavio Pileggi & Dilek Cetindamar, 2023. "Influential Factors, Enablers, and Barriers to Adopting Smart Technology in Rural Regions: A Literature Review," Sustainability, MDPI, vol. 15(10), pages 1-38, May.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Ian Peacock & Emily Ryo, 2022. "A study of pandemic and stigma effects in removal proceedings," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 19(3), pages 560-593, September.
- Zhao, Xinxing & Li, Kainan & Ang, Candice Ke En & Cheong, Kang Hao, 2023. "A deep learning based hybrid architecture for weekly dengue incidences forecasting," Chaos, Solitons & Fractals, Elsevier, vol. 168(C).
- Arielle Kaim & Maya Siman-Tov & Eli Jaffe & Bruria Adini, 2021. "From Isolation to Containment: Perceived Fear of Infectivity and Protective Behavioral Changes during the COVID-19 Vaccination Campaign," IJERPH, MDPI, vol. 18(12), pages 1-12, June.
- Das, Ayan Kumar & Kalam, Sidra & Kumar, Chiranjeev & Sinha, Ditipriya, 2021. "TLCoV- An automated Covid-19 screening model using Transfer Learning from chest X-ray images," Chaos, Solitons & Fractals, Elsevier, vol. 144(C).
- Lei Jiang & Yujia Huang & Haonan Cheng & Ting Zhang & Lei Huang, 2021. "Emergency Response and Risk Communication Effects of Local Media during COVID-19 Pandemic in China: A Study Based on a Social Media Network," IJERPH, MDPI, vol. 18(20), pages 1-16, October.
- Galetsi, Panagiota & Katsaliaki, Korina & Kumar, Sameer, 2022. "The medical and societal impact of big data analytics and artificial intelligence applications in combating pandemics: A review focused on Covid-19," Social Science & Medicine, Elsevier, vol. 301(C).
- Shaniece Criss & Thu T. Nguyen & Samantha Norton & Imaya Virani & Eli Titherington & Emma Lou Tillmanns & Courtney Kinnane & Gabrielle Maiolo & Anne B. Kirby & Gilbert C. Gee, 2021. "Advocacy, Hesitancy, and Equity: Exploring U.S. Race-Related Discussions of the COVID-19 Vaccine on Twitter," IJERPH, MDPI, vol. 18(11), pages 1-12, May.
- Prabhjot Kaur & Shilpi Harnal & Rajeev Tiwari & Fahd S. Alharithi & Ahmed H. Almulihi & Irene Delgado Noya & Nitin Goyal, 2021. "A Hybrid Convolutional Neural Network Model for Diagnosis of COVID-19 Using Chest X-ray Images," IJERPH, MDPI, vol. 18(22), pages 1-17, November.
- Yi Liu & Cong Liu, 2023. "Protective and Overprotective Behaviors against COVID-19 Outbreak: Media Impact and Mediating Roles of Institutional Trust and Anxiety," IJERPH, MDPI, vol. 20(2), pages 1-15, January.
- Nelson Oly Ndubisi & Yi Li & Ana Beatriz Lopes Sousa Jabbour & Charbel Jose Chiappetta Jabbour & Phoebe A. C. Ndubisi, 2022. "Managing Covid-19 pandemic and supply chain disruptions through employee attitude: A cross-country analysis based on the transtheoretical model," Operations Management Research, Springer, vol. 15(3), pages 1096-1114, December.
- Jonathan S. Talahua & Jorge Buele & P. Calvopiña & José Varela-Aldás, 2021. "Facial Recognition System for People with and without Face Mask in Times of the COVID-19 Pandemic," Sustainability, MDPI, vol. 13(12), pages 1-19, June.
- Glenda Ballantyne & Vincent Giarrusso, 2023. "Asian Australian Experiences of Racism During the COVID-19 Pandemic in Victoria: a Preliminary Analysis," Journal of International Migration and Integration, Springer, vol. 24(3), pages 1437-1453, September.
- Ben-Loghfyry, Anouar & Charkaoui, Abderrahim, 2023. "Regularized Perona & Malik model involving Caputo time-fractional derivative with application to image denoising," Chaos, Solitons & Fractals, Elsevier, vol. 175(P1).
- Acolin, Jessica & Fishman, Paul, 2023. "Beyond the biomedical, towards the agentic: A paradigm shift for population health science," Social Science & Medicine, Elsevier, vol. 326(C).
- Jiepin Cao & Chiyoung Lee & Wenyang Sun & Jennie C. De Gagne, 2022. "The #StopAsianHate Movement on Twitter: A Qualitative Descriptive Study," IJERPH, MDPI, vol. 19(7), pages 1-11, March.
- Tomer Mevorach & Jonathan Cohen & Alan Apter, 2021. "Keep Calm and Stay Safe: The Relationship between Anxiety and Other Psychological Factors, Media Exposure and Compliance with COVID-19 Regulations," IJERPH, MDPI, vol. 18(6), pages 1-13, March.
More about this item
Keywords
COVID-19; corona virus; pneumonia; chest X-ray; CNN; transfer learning; big data; public health; data bricks; Apache Spark; ResNet50; InceptionV3; VGG19; SparkDL; machine learning; deep learning;All these keywords.
JEL classification:
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:18:y:2021:i:19:p:10147-:d:644288. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.