Open Access Journal

ISSN : 2394-6849 (Online)

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Open Access Journal

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering
Call For Paper : Vol. 9, Issue 5 2022

ISSN : 2394-6849 (Online)

X Ray Based Covid 19 Detection System

Author : Prof. Chintan Jethva 1 Bharati Eralla 2 Manav Khemani 3 Hitesh Motwani 4 Disha Mangwani 5

Date of Publication :14th May 2022

Abstract: The World Health Organization (WHO) recognized COVID-19 as the cause of a worldwide pandemic in 2019. The disease is usually contagious, and those who are infected can quickly pass it to others with whom they originate into contact. As a result, observing is an effective way to stop the virus from spreading more. Another disease caused by a pandemic the same as COVID-19 is pneumonia. This is of-ten significantly unsafe for young-sters, individuals over 65 years getting on, and people with health issues or immune systems that are affected. In this paper, we have classified COVID-19 and pneumonia using deep transfer learning. We have used the VGG16 architecture, which was constructed by collecting dataset of COVID-19, Pneumonia and normal X-Ray images. Our main objective is to ease the work of radiologist by providing a Graphical User Interface which takes x-ray as input and can directly distinguish whether or not patient has COVID-19, pneumonia or is normal

Reference :

    1. Khandaker Foysal Haque, Fatin Farhan Haque, Lisa Gandy,” Automatic Detection of COVID-19 from Chest X-ray Images with Convolutional Neural Networks, 2020 College of Science and Engineering Central Michigan University Mt Pleasant, MI, USA
    2. “Md Manjurul Ahsan, Md Tanvir Ahad, Farzana Akter Soma, Shuva Paul, Ananna Chowdhury, Shahana Akter Luna, Munshi Md. Shafwat Yazdan, Akhlaqur Rahman, Zahed Siddique, Pedro Huebner,” Detecting SARS-CoV-2 From Chest X-Ray Using Artificial Intelligence , 2020, 1School of Industrial and Systems Engineering, The University of Oklahoma, Norman, OK 73019, USA
    3. Ravneet Punia , Lucky kumar , Mohd. Mujahaid, Rajesh rohilla,” Computer Vision and Radiology for COVID19 Detection, 2020 ,4 Electronics and Communication Department, Delhi Technological University, Delhi, India
    4. Rabab YasinWalaa Gouda,” Chest X-ray findings monitoring COVID-19 disease course and severity,2020. Egyptian Journal of Radiology and Nuclear Medicine.
    5. COVID-19: A Medical diagnosis using Deep Learning. 

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