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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

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2893799607

Deep CNN for the Identification of Pneumonia Respiratory Disease in Chest X-Ray Imagery

About this item

Full title

Deep CNN for the Identification of Pneumonia Respiratory Disease in Chest X-Ray Imagery

Publisher

West Yorkshire: Science and Information (SAI) Organization Limited

Journal title

International journal of advanced computer science & applications, 2023, Vol.14 (10)

Language

English

Formats

Publication information

Publisher

West Yorkshire: Science and Information (SAI) Organization Limited

More information

Scope and Contents

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...

Alternative Titles

Full title

Deep CNN for the Identification of Pneumonia Respiratory Disease in Chest X-Ray Imagery

Identifiers

Primary Identifiers

Record Identifier

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

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