Deep Lung Revolutionizing Pneumonia Detection Using Convolutional Neural Network

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Authors: Deepa B., M Rithvik, Ruben Raj
Cited by: 0

Abstract

Deep Lung delivers a next-generation approach for diagnosing pneumonia through CNNs developed with TensorFlow. Pneumonia, being a persistent and potentially hazardous lung infection, requires swift and correct analysis for proper care. Conventional diagnosis uses radiological imaging, which takes time and may lead to inconsistent results due to human interpretation. To address this, Deep Lung utilizes CNNs trained on extensive collections of chest X-rays to autonomously identify pneumonia. Leveraging TensorFlow’s dependable platform, the system reaches high levels of sensitivity and specificity, offering rapid clinical support to healthcare workers. This progressive application of deep learning in radiology signals a milestone in diagnostic accuracy, potentially minimizing medical expenses and elevating patient treatment outcomes.

Fields of Study & Subjects

COVID-19 diagnosis using AI Radiomics and Machine Learning in Medical Imaging Pneumonia and Respiratory Infections

Publication details

Journal / source
International Journal of Innovative Science and Research Technology (IJISRT)
Pages
3409–3409
Publication date
10 February 2026
Language
EN