LUNG DISEASEAND COVID DETECTION USING CHEST X-RAYIMAGES BY DEEPLEARNING

Paper ID: EIJTEM_2018_5_3_17-27

Author's Name: Sathvik Sanka , N Bharath Reddy , S Uday Shankar , S Chandra Shekar and B Shravan Kumar

Volume: 5

Issue: 3

Year: 2018

Page No: 17-27

Abstract:

The majority of the world population is suffering with lung disease which caused due to various factors. Another factor which is effecting the lungs is corona virus which is famously known as COVID-19. COVID-19 pandemic has presented the world with a unique health crisis. Researchers are actively seeking solutions to curb the spread of the virus and save lives, including the integration of artificial intelligence. In this research paper, the authors propose a deep learning system that utilizes chest X-ray images to notice COVID-19 as well as lung disease with which they are suffering from. The strategy fine-tunes ternary worthy networks, ResNet50, InceptionV3, and VGG16, on an enhanced dataset that comprises of both COVID-19 and normal chest X-rays from multiple world databases. The results of the study demonstrate the effectiveness of transfer learning in providing robust execution for COVID19 detection. This arrangement has the capability to automatize the exercise of analyzing x-ray images with high precision and could exhibit vital in regions where RT-PCR tests and materials are runt

Keywords: Artificial Intelligence, Deep learning, Transfer Learning, Inception-V3

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