TeliNet, a simple and shallow Convolution Neural Network (CNN) to Classify CT Scans of COVID-19 patients

by   Mohammad Nayeem Teli, et al.

Hundreds of millions of cases and millions of deaths have occurred worldwide due to COVID-19. The fight against this pandemic is on-going on multiple fronts. While vaccinations are picking up speed, there are still billions of unvaccinated people. In this fight diagnosis of the disease and isolation of the patients to prevent any spreads play a huge role. Machine Learning approaches have assisted the diagnosis of COVID-19 cases by analyzing chest X-ray and CT-scan images of patients. In this research we present a simple and shallow Convolutional Neural Network based approach, TeliNet, to classify CT-scan images of COVID-19 patients. Our results outperform the F1 score of VGGNet and the benchmark approaches. Our proposed solution is also more lightweight in comparison to the other methods.



There are no comments yet.


page 3


Efficient and Visualizable Convolutional Neural Networks for COVID-19 Classification Using Chest CT

The novel 2019 coronavirus disease (COVID-19) has infected over 65 milli...

Custom Deep Neural Network for 3D Covid Chest CT-scan Classification

3D CT-scan base on chest is one of the controversial topisc of the resea...

Comparative performance analysis of the ResNet backbones of Mask RCNN to segment the signs of COVID-19 in chest CT scans

COVID-19 has been detrimental in terms of the number of fatalities and r...

Comparison of COVID-19 Prediction Performances of Normalization Methods on Cough Acoustics Sounds

The disease called the new coronavirus (COVID19) is a new viral respirat...

A Crowdsourced Contact Tracing Model to Detect COVID-19 Patients using Smartphones

Millions of people have died all across the world because of the COVID-1...

Deep Learning Based Automated COVID-19 Classification from Computed Tomography Images

The paper presents a Convolutional Neural Networks (CNN) model for image...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.