Pneumonia Detection and Classification Using Chest X-Ray Images with Convolutional Neural Network

R. Angeline (), Munukoti Mrithika, Atmaja Raman and Prathibha Warrier
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R. Angeline: SRM Institute of Science and Technology, Computer Science Engineering
Munukoti Mrithika: SRM Institute of Science and Technology, Computer Science Engineering
Atmaja Raman: SRM Institute of Science and Technology, Computer Science Engineering
Prathibha Warrier: SRM Institute of Science and Technology, Computer Science Engineering

A chapter in New Trends in Computational Vision and Bio-inspired Computing, 2020, pp 701-709 from Springer

Abstract: Abstract Chest X-rays are widely used for diagnosis of diseases such as pneumonia which affects the lungs. This paper provides an approach to detect pneumonia and classify the chest X-ray images into two classes pneumonia or normal using convolutional neural networks. This is done by training the convolutional neural network to differentiate between the normal and pneumonia chest X-ray images using a deep learning platform Pytorch. Image preprocessing technique has been applied in order to enhance the image. Python and OpenCV have been used.

Keywords: Pneumonia detection; Classification; Image processing; Convolutional neural network; ResNet (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/978-3-030-41862-5_69

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