International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064




Downloads: 36

Student Project | Computer Science & Engineering | India | Volume 10 Issue 3, March 2021


Detecting Pneumonia from X-Ray Images using Deep Learning

Deep Piyushkumar Patel


Abstract: The pneumonia disease is a major health problem for many, especially for developing nations where billions face poverty and rely on polluting forms of energy. Pneumonia is a common disease we have fought against for thousands of years. It’s about time we put an end to this. Automating this detection task would greatly improve the efficiency of radiologists. Consequently, there is an urgent requirement for early location and treatment of such ailments. The information which is gathered by data analysis of hospitals is utilizing by applying different blends of calculations and algorithms for the early-stage prediction of pneumonia ailments. Deep Learning is one of the slanting innovations utilized in numerous circles far and wide including the medicinal services application for predicting illnesses. In this research, we compared the accuracy of deep learning algorithms that could be used for predicting the overall risks. The proposed experiment is based on standard deep learning algorithm such as Convolutional Neural Network (CNN), and VGG19 Model in Keras.


Keywords: Lung diseases, Deep Learning, Image classification


Edition: Volume 10 Issue 3, March 2021,


Pages: 1677 - 1680


How to Cite this Article?

Deep Piyushkumar Patel, "Detecting Pneumonia from X-Ray Images using Deep Learning", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=SR21324121633, Volume 10 Issue 3, March 2021, 1677 - 1680

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