An efficient mixture of deep and machine learning models for COVID-19 diagnosis in chest X-ray images

PloS One
Dingding WangYajun Liu

Abstract

A newly emerged coronavirus (COVID-19) seriously threatens human life and health worldwide. In coping and fighting against COVID-19, the most critical step is to effectively screen and diagnose infected patients. Among them, chest X-ray imaging technology is a valuable imaging diagnosis method. The use of computer-aided diagnosis to screen X-ray images of COVID-19 cases can provide experts with auxiliary diagnosis suggestions, which can reduce the burden of experts to a certain extent. In this study, we first used conventional transfer learning methods, using five pre-trained deep learning models, which the Xception model showed a relatively ideal effect, and the diagnostic accuracy reached 96.75%. In order to further improve the diagnostic accuracy, we propose an efficient diagnostic method that uses a combination of deep features and machine learning classification. It implements an end-to-end diagnostic model. The proposed method was tested on two datasets and performed exceptionally well on both of them. We first evaluated the model on 1102 chest X-ray images. The experimental results show that the diagnostic accuracy of Xception + SVM is as high as 99.33%. Compared with the baseline Xception model, the diagnostic accuracy ...Continue Reading

References

Mar 1, 2020·International Journal of Surgery·Catrin SohrabiRiaz Agha
Jun 14, 2020·Computer Methods and Programs in Biomedicine·Asif Iqbal KhanMohammad Mudasir Bhat
Jun 17, 2020·Chaos, Solitons, and Fractals·Harsh PanwarVaishnavi Singh
Jun 23, 2020·Computers in Biology and Medicine·Tulin OzturkU Rajendra Acharya
Apr 24, 2020·MedRxiv : the Preprint Server for Health Sciences·S. WangBo Xu

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Citations

Apr 8, 2021·Biomedical Signal Processing and Control·Bharati PeddintiNithin Kumar K C
Jun 3, 2021·Journal of Clinical Medicine·Md Mohaimenul IslamYu-Chuan Jack Li
Aug 17, 2021·Computational Intelligence and Neuroscience·Talal S QaidWafaa Alakwaa
Aug 31, 2021·BioMed Research International·Mustafa GhaderzadehFarkhondeh Asadi
Oct 6, 2021·Scientific Reports·Dandi YangJesus Carretero

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Methods Mentioned

BETA
X-ray
feature extraction
PCR

Software Mentioned

AlexNet
Inception
Google Colaboratory
COVIDx
InceptionV3
Xception
Keras
net

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