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المؤلفRahman, Tawsifur
المؤلفChowdhury, Muhammad E. H.
المؤلفKhandakar, Amith
المؤلفIslam, Khandaker R.
المؤلفIslam, Khandaker F.
المؤلفMahbub, Zaid B.
المؤلفKadir, Muhammad A.
المؤلفKashem, Saad
تاريخ الإتاحة2023-04-17T06:57:48Z
تاريخ النشر2020
اسم المنشورApplied Sciences (Switzerland)
المصدرScopus
معرّف المصادر الموحدhttp://dx.doi.org/10.3390/app10093233
معرّف المصادر الموحدhttp://hdl.handle.net/10576/42001
الملخصPneumonia is a life-threatening disease, which occurs in the lungs caused by either bacterial or viral infection. It can be life-endangering if not acted upon at the right time and thus the early diagnosis of pneumonia is vital. The paper aims to automatically detect bacterial and viral pneumonia using digital x-ray images. It provides a detailed report on advances in accurate detection of pneumonia and then presents the methodology adopted by the authors. Four different pre-trained deep Convolutional Neural Network (CNN): AlexNet, ResNet18, DenseNet201, and SqueezeNet were used for transfer learning. A total of 5247 chest X-ray images consisting of bacterial, viral, and normal chest x-rays images were preprocessed and trained for the transfer learning-based classification task. In this study, the authors have reported three schemes of classifications: normal vs. pneumonia, bacterial vs. viral pneumonia, and normal, bacterial, and viral pneumonia. The classification accuracy of normal and pneumonia images, bacterial and viral pneumonia images, and normal, bacterial, and viral pneumonia were 98%, 95%, and 93.3%, respectively. This is the highest accuracy, in any scheme, of the accuracies reported in the literature. Therefore, the proposed study can be useful in more quickly diagnosing pneumonia by the radiologist and can help in the fast airport screening of pneumonia patients. 2020 by the authors.
راعي المشروعThis work was made possible by NPRP12S-0227-190164 from the Qatar National Research Fund, a member of Qatar Foundation, Doha, Qatar and students' grant of Qatar University QUST-1-CENG-2020-23. The statements made herein are solely the responsibility of the authors.
اللغةen
الناشرMDPI AG
الموضوعBacterial and viral pneumonia
Chest X-ray
Deep learning
Image processing
Pneumonia
Transfer learning
العنوانTransfer learning with deep Convolutional Neural Network (CNN) for pneumonia detection using chest X-ray
النوعArticle
رقم العدد9
رقم المجلد10
dc.accessType Open Access


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