DeepAI
Log In Sign Up

Detection and severity classification of COVID-19 in CT images using deep learning

02/15/2021
by   Yazan Qiblawey, et al.
15

Since the breakout of coronavirus disease (COVID-19), the computer-aided diagnosis has become a necessity to prevent the spread of the virus. Detecting COVID-19 at an early stage is essential to reduce the mortality risk of the patients. In this study, a cascaded system is proposed to segment the lung, detect, localize, and quantify COVID-19 infections from computed tomography (CT) images Furthermore, the system classifies the severity of COVID-19 as mild, moderate, severe, or critical based on the percentage of infected lungs. An extensive set of experiments were performed using state-of-the-art deep Encoder-Decoder Convolutional Neural Networks (ED-CNNs), UNet, and Feature Pyramid Network (FPN), with different backbone (encoder) structures using the variants of DenseNet and ResNet. The conducted experiments showed the best performance for lung region segmentation with Dice Similarity Coefficient (DSC) of 97.19 the DenseNet 161 encoder. Furthermore, the proposed system achieved an elegant performance for COVID-19 infection segmentation with a DSC of 94.13 91.85 performance is significantly superior to previous methods for COVID-19 lesion localization. Besides, the proposed system can reliably localize infection of various shapes and sizes, especially small infection regions, which are rarely considered in recent studies. Moreover, the proposed system achieved high COVID-19 detection performance with 99.64 Finally, the system was able to discriminate between different severity levels of COVID-19 infection over a dataset of 1,110 subjects with sensitivity values of 98.3 infections, respectively.

READ FULL TEXT

page 9

page 11

page 13

page 18

page 19

page 20

page 21

page 23

03/14/2021

COVID-19 Infection Localization and Severity Grading from Chest X-ray Images

Coronavirus disease 2019 (COVID-19) has been the main agenda of the whol...
09/26/2020

COVID-19 Infection Map Generation and Detection from Chest X-Ray Images

Computer-aided diagnosis has become a necessity for accurate and immedia...
09/22/2022

COVID-19 Detection and Analysis From Lung CT Images using Novel Channel Boosted CNNs

In December 2019, the global pandemic COVID-19 in Wuhan, China, affected...
03/22/2020

Large-Scale Screening of COVID-19 from Community Acquired Pneumonia using Infection Size-Aware Classification

The worldwide spread of coronavirus disease (COVID-19) has become a thre...