DETECTION OF PNEUMONIA IN PATIENTS USING CHEST X-RAY IMAGES BASED ON CONVOLUTIONAL NEURAL NETWORKS

Authors

  • Abhay Chopde Vishwakarma Institute of Technology, Pune 411037, Maharashtra, India
  • Farhan Aga Vishwakarma Institute of Technology, Pune 411037, Maharashtra, India
  • Ananya Kumar Vishwakarma Institute of Technology, Pune 411037, Maharashtra, India

DOI:

https://doi.org/10.32553/ijmbs.v6i2.2406

Abstract

Pneumonia is a respiratory disease which inflames one or both lungs, and lungs may fill up with fluid. This can cause fever, chills, cough with phlegm or pus. It is a harmful disease that can be fatal in some cases. It is critical to detect pneumonia early, with a model which could help doctors reduce workload and bring in more accuracy in detection of pneumonia.

In this work, we propose a model which is designed for the diagnosis of pneumonia that is trained on digital chest X-ray images to accurately diagnose pneumonic lungs. In the author’s opinion, this could benefit the medical field in the near future.

Keywords: CNN, Keras, Pneumonia

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Published

2022-02-19

How to Cite

Chopde, A. ., Aga, F. ., & Kumar, A. . (2022). DETECTION OF PNEUMONIA IN PATIENTS USING CHEST X-RAY IMAGES BASED ON CONVOLUTIONAL NEURAL NETWORKS. International Journal of Medical and Biomedical Studies, 6(2). https://doi.org/10.32553/ijmbs.v6i2.2406

Issue

Vol. 6 No. 2 (2022)

Section

Articles

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Copyright (c) 2022 International Journal of Medical and Biomedical Studies

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This work is licensed under a Creative Commons Attribution 4.0 International License.