Deep Learning to Detect Pneumonia from Chest X-Ray Image

Kirti Mhamunkar; Soham Sandeep Balekar; Aatish Sanjay Bhilare; Anish Harishchandra Bhoir

International Journal of Image Processing and Pattern Recognition

Deep Learning to Detect Pneumonia from Chest X-Ray Image

Abstract

Pneumonia is an acute pulmonary infection that is caused by viruses or by bacteria and it causes inflammation in the lungs. In 2019, a total of 2.5 million people died because of pneumonia, out of which, one third were younger than the age of 5. This infection was diagnosed by taking a chest Xray. The prediction of diseases is mainly based on human knowledge. In this, the probability of human error is quite high. Also, in remote areas, expert doctors are not always available. Our project is about creating a deep learning algorithm-based learning model which can detect a patient with pneumonia by analyzing its X-ray image. We have created CNN and VGG16 based models to predict if the patient is suffering from pneumonia or not. Our proposed system will provide accurate and rapid diagnosis, ensuring timely access to treatment and potentially saving lives.

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How to cite

Kirti Mhamunkar, Soham Sandeep Balekar, Aatish Sanjay Bhilare, Anish Harishchandra Bhoir. Deep Learning to Detect Pneumonia from Chest X-Ray Image. International Journal of Image Processing and Pattern Recognition. 2022;8(1):8–14.

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Deep Learning to Detect Pneumonia from Chest X-Ray Image

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