AI aiding in diagnosing, tracking recovery of COVID-19 using deep learning on Chest CT scans

Multimedia Tools and Applications
Maheshwar KuchanaKiran Khatter

Abstract

Coronavirus (COVID-19) has spread throughout the world, causing mayhem from January 2020 to this day. Owing to its rapidly spreading existence and high death count, the WHO has classified it as a pandemic. Biomedical engineers, virologists, epidemiologists, and people from other medical fields are working to help contain this epidemic as soon as possible. The virus incubates for five days in the human body and then begins displaying symptoms, in some cases, as late as 27 days. In some instances, CT scan based diagnosis has been found to have better sensitivity than RT-PCR, which is currently the gold standard for COVID-19 diagnosis. Lung conditions relevant to COVID-19 in CT scans are ground-glass opacity (GGO), consolidation, and pleural effusion. In this paper, two segmentation tasks are performed to predict lung spaces (segregated from ribcage and flesh in Chest CT) and COVID-19 anomalies from chest CT scans. A 2D deep learning architecture with U-Net as its backbone is proposed to solve both the segmentation tasks. It is observed that change in hyperparameters such as number of filters in down and up sampling layers, addition of attention gates, addition of spatial pyramid pooling as basic block and maintaining the homogene...Continue Reading

References

Sep 10, 2015·IEEE Transactions on Pattern Analysis and Machine Intelligence·Kaiming HeJian Sun
Feb 26, 2019·Medical Image Analysis·Jo SchlemperDaniel Rueckert
Apr 4, 2020·Radiology·Damiano CarusoAndrea Laghi
Jun 6, 2020·The New England Journal of Medicine·Steven WoloshinAaron S Kesselheim
Jul 21, 2020·ERJ Open Research·Marcello Di PaoloPaolo Palange
Mar 23, 2020·MedRxiv : the Preprint Server for Health Sciences·H. FuYingkun Guo
Mar 23, 2020·MedRxiv : the Preprint Server for Health Sciences·S. JinWei Xu

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Citations

Oct 6, 2021·Scientific Reports·Dandi YangJesus Carretero
Oct 29, 2021·PloS One·M Rubaiyat Hossain MondalPrajoy Podder

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Methods Mentioned

BETA
X-ray

Software Mentioned

GitHub
Kaggle
UNet
Python
MedSeg
TensorFlow
COVNet

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