Instrumentation et métrologie

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https://dspace.univ-oran1.dz/handle/123456789/4625

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Parcourir la collection Instrumentation et métrologie par Auteur "MADANI Rihab"

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    An IoT-based deep learning frame work for early assessment of pneumonia.
    (2024) MADANI Rihab
    The COVID-19 pandemic has highlighted the importance of remote patient monitoring for the well-being of both patients and healthcare providers. Pneumonia, a leading cause of morbidity and mortality in children, requires prompt diagnosis and treatment due to its impact on the small air sacs in the lungs. Chest X-rays are a common diagnostic tool for detecting pneumonia. This study emphasizes the development of a support tool to assist healthcare professionals in enhancing the accuracy and efficiency of pneumonia diagnosis through advanced deep learning approaches. The best model accuracy of VGGNet of 95.89% confirms that the model is robust however MobileNet can perform well in real-world situations.