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1 – 2 of 2Jyoti Mishra, Mahendra Tiwari, Bhavna Bajpai, Swati Atre and Amandeep Kaur
The purpose of this paper is to focus on the prediction of Coronavirus 2019 (COVID-19) using X-ray image.
Abstract
Purpose
The purpose of this paper is to focus on the prediction of Coronavirus 2019 (COVID-19) using X-ray image.
Design/methodology/approach
This study proposed convolutional neural network (CNN) approach to predict COVID-19.
Findings
Prediction of COVID-19 using CNN.
Originality/value
The work has implemented multiple CNN models to classify chest X-ray of affected patients by using their chest scans. According to three models, the ResNet-50 is advantageous because of its high service reliability.
Details
Keywords
Pankaj Kumar, Bhavna Bajpai, Deepak Omprakash Gupta, Dinesh C. Jain and S. Vimal
The purpose of this study/paper To focus on finding COVID-19 with the help of DarkCovidNet architecture on patient images.
Abstract
Purpose
The purpose of this study/paper To focus on finding COVID-19 with the help of DarkCovidNet architecture on patient images.
Design/methodology/approach
We used machine learning techniques with convolutional neural network.
Findings
Detecting COVID-19 symptoms from patient CT scan images.
Originality/value
This paper contains a new architecture for detecting COVID-19 symptoms from patient computed tomography scan images.
Details