Deep CNN for the Identification of Pneumonia Respiratory Disease in Chest X-Ray Imagery
Deep CNN for the Identification of Pneumonia Respiratory Disease in Chest X-Ray Imagery
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Publisher
West Yorkshire: Science and Information (SAI) Organization Limited
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Language
English
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Publisher
West Yorkshire: Science and Information (SAI) Organization Limited
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Contents
Addressing the challenges of diagnosing lower respiratory tract infections, this study unveils the potential of Deep Convolutional Neural Networks (Deep CNN) as transformative tools in medical image interpretation. Our research presents a tailored Deep CNN model, optimized for distinguishing pneumonia in chest X-ray images, a task often complicated...
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Full title
Deep CNN for the Identification of Pneumonia Respiratory Disease in Chest X-Ray Imagery
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TN_cdi_proquest_journals_2893799607
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2893799607
Other Identifiers
ISSN
2158-107X
E-ISSN
2156-5570
DOI
10.14569/IJACSA.2023.0141069
