WisdomNet: Prognosis of COVID-19 with Slender Prospect of False Negative Cases and Vaticinating the Probability of Maturation to ARDS using Posteroanterior Chest X-Rays

07/03/2021
by   Peeyush Kumar, et al.
17

Coronavirus is a large virus family consisting of diverse viruses, some of which disseminate among mammals and others cause sickness among humans. COVID-19 is highly contagious and is rapidly spreading, rendering its early diagnosis of preeminent status. Researchers, medical specialists and organizations all over the globe have been working tirelessly to combat this virus and help in its containment. In this paper, a novel neural network called WisdomNet has been proposed, for the diagnosis of COVID-19 using chest X-rays. The WisdomNet uses the concept of Wisdom of Crowds as its founding idea. It is a two-layered convolutional Neural Network (CNN), which takes chest x-ray images as input. Both layers of the proposed neural network consist of a number of neural networks each. The dataset used for this study consists of chest x-ray images of COVID-19 positive patients, compiled and shared by Dr. Cohen on GitHub, and the chest x-ray images of healthy lungs and lungs affected by viral and bacterial pneumonia were obtained from Kaggle. The network not only pinpoints the presence of COVID-19, but also gives the probability of the disease maturing into Acute Respiratory Distress Syndrome (ARDS). Thus, predicting the progression of the disease in the COVID-19 positive patients. The network also slender the occurrences of false negative cases by employing a high threshold value, thus aids in curbing the spread of the disease and gives an accuracy of 100 of patients affected with COVID-19, bacterial and viral pneumonia.

READ FULL TEXT

page 1

page 4

page 6

page 7

research
06/22/2020

Stacked Convolutional Neural Network for Diagnosis of COVID-19 Disease from X-ray Images

Automatic and rapid screening of COVID-19 from the chest X-ray images ha...
research
04/05/2020

Finding Covid-19 from Chest X-rays using Deep Learning on a Small Dataset

Testing for COVID-19 has been unable to keep up with the demand. Further...
research
06/23/2021

CxSE: Chest X-ray Slow Encoding CNN forCOVID-19 Diagnosis

The coronavirus continues to disrupt our everyday lives as it spreads at...
research
08/25/2020

Analysis of deep machine learning algorithms in COVID-19 disease diagnosis

The aim of the work is to use deep neural network models for solving the...
research
02/08/2021

Hybrid quantum convolutional neural networks model for COVID-19 prediction using chest X-Ray images

Despite the great efforts to find an effective way for COVID-19 predicti...
research
10/26/2020

Interpreting Uncertainty in Model Predictions For COVID-19 Diagnosis

COVID-19, due to its accelerated spread has brought in the need to use a...

Please sign up or login with your details

Forgot password? Click here to reset