Pneumonia Detection from Chest X-ray Using Mask R-CNN

Authors

  • S. Roshini Department of Computer Science and Engineering, SNS College of Technology, Coimbatore, India
  • R. Sanjana Department of Computer Science and Engineering, SNS College of Technology, Coimbatore, India
  • K. B. Ranjith Department of Computer Science and Engineering, SNS College of Technology, Coimbatore, India
  • M. Karthick Department of Computer Science and Engineering, SNS College of Technology, Coimbatore, India

Keywords:

Pneumonia detection, Chest X-ray, Detection of accuracy

Abstract

The pneumonia is a lung disease or lung infection that affect the alveoli region severely. According to WHO million children were died in 2017 by pneumonia and approximately 15% of all death of children under the age of five years. It easily infects the adults over the age of 65 and a person with pre-existing health problem. This infection spreads when healthy person contacts with infected person. Vaccine is the only option to prevent from pneumonia. In this paper we are using convolutional neural network to find the pneumonia infection from chest X-Ray. We use deep learning to determine the presence of purulent material in a determined location from the chest X-ray. There is a possibility of developing advanced deep learning model by the appearance of new dataset to focusing on detection and diagnosis of pneumonia. In future this method will help the medical practitioners to quickly identify and cure pneumonia.

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Published

2021-03-25

How to Cite

[1]
S. Roshini, R. Sanjana, K. B. Ranjith, and M. Karthick, “Pneumonia Detection from Chest X-ray Using Mask R-CNN”, IJRESM, vol. 4, no. 3, pp. 82–83, Mar. 2021.

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Articles