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High-Precision Multiclass Classification of Lung Disease Through Customized MobileNetV2 From Chest X-Ray Images

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dc.contributor.author Shamrat, FM Javed Mehedi
dc.contributor.author Azam, Sami
dc.contributor.author Karim, Asif
dc.contributor.author Ahmed, Kawsar
dc.contributor.author Bui, Francis M.
dc.contributor.author Boer, Friso De
dc.date.accessioned 2024-06-03T06:20:36Z
dc.date.available 2024-06-03T06:20:36Z
dc.date.issued 2023-02-10
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/12621
dc.description.abstract In this study, multiple lung diseases are diagnosed with the help of the Neural Network algorithm. Specifically, Emphysema, Infiltration, Mass, Pleural Thickening, Pneumonia, Pneumothorax, Atelectasis, Edema, Effusion, Hernia, Cardiomegaly, Pulmonary Fibrosis, Nodule, and Consolidation, are studied from the ChestX-ray14 dataset. A proposed fine-tuned MobileLungNetV2 model is employed for analysis. Initially, pre-processing is done on the X-ray images from the dataset using CLAHE to increase image contrast. Additionally, a Gaussian Filter, to denoise images, and data augmentation methods are used. The pre-processed images are fed into several transfer learning models; such as InceptionV3, AlexNet, DenseNet121, VGG19, and MobileNetV2. Among these models, MobileNetV2 performed with the highest accuracy of 91.6% in overall classifying lesions on Chest X-ray Images. This model is then fine-tuned to optimise the MobileLungNetV2 model. On the pre-processed data, the fine-tuned model, MobileLungNetV2, achieves an extraordinary classification accuracy of 96.97%. Using a confusion matrix for all the classes, it is determined that the model has an overall high precision, recall, and specificity scores of 96.71%, 96.83% and 99.78% respectively. The study employs the Grad-cam output to determine the heatmap of disease detection. The proposed model shows promising results in classifying multiple lesions on Chest X-ray images. en_US
dc.language.iso en_US en_US
dc.publisher Elsevier en_US
dc.subject Lung diseases en_US
dc.subject Neural networks en_US
dc.subject Algorithms en_US
dc.title High-Precision Multiclass Classification of Lung Disease Through Customized MobileNetV2 From Chest X-Ray Images en_US
dc.type Article en_US


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