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Medical Imaging and Computational Image Analysis in COVID-19 Diagnosis: A Review
[article]
2020
arXiv
pre-print
Preserved Fulltext
Many studies have tried to use medical imaging for early diagnosis of COVID-19. This study attempts to review papers on automatic methods for medical image analysis and diagnosis of COVID-19. ...
COVID-19 reveals signs in medical images can be used for early diagnosis of the disease even in asymptomatic patients. ...
.
4-Discussion
4-1-Overview In this review study, many articles and preprints related to the role of medical imaging and automatic methods of medical image analysis in the diagnosis of COVID-19 were ...
arXiv:2010.02154v1
fatcat:fc2kmmw7ujf4fe6idpqirv2g4i
Machine-Learning-Based Disease Diagnosis: A Comprehensive Review
2022
Healthcare
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Initially, a bibliometric analysis of the publication is carried out using data from the Scopus and Web of Science (WOS) databases. ...
The review then summarizes the most recent trends and approaches in machine-learning-based disease diagnosis (MLBDD), considering the following factors: algorithm, disease types, data type, application ...
-98.5% [101] COVID-19 disease detection CNN Mixed dataset Image Accuracy-86% [102] COVID-19 disease detection CNN Cohen's dataset Image Accuracy-94.1% [6] COVID-19 disease detection and image segmentation ...
doi:10.3390/healthcare10030541
pmid:35327018
pmcid:PMC8950225
fatcat:5obhqlgyendtbgq4werl6ruxda
Medical Imaging with Deep Learning for COVID- 19 Diagnosis: A Comprehensive Review
[article]
2021
arXiv
pre-print
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In this article, we detail various medical imaging-based studies such as X-rays and computed tomography (CT) images along with DL methods for classifying COVID-19 affected versus pneumonia. ...
The applications of DL techniques to medical images are further described in terms of image localization, segmentation, registration, and classification leading to COVID-19 detection. ...
Overview of COVID-19 and DL This section discusses the details of DL with COVID-19 and the application of DL to the processing and analysis of medical images in the current works.
A. ...
arXiv:2107.09602v1
fatcat:ewpxl2kutvaypi4kp2urfbxw3y
COVID-19 Pneumonia: A Review of Typical Ct Findings and Differential Diagnosis
2020
Biomedical Research and Clinical Reviews
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Computed Tomography (CT) can be used as an essential complement for the diagnosis of COVID-19 Pneumonia in the current epidemic context. ...
Because COVID-19 is a relatively new global disease, clinicians, and patients across the globe would initially not be conversant with the clinical features and radiology imaging characteristics of SARS-CoV ...
Imaging and Differential Diagnosis of COVID-19. ...
doi:10.31579/2692-9406/019
fatcat:w5ro2heopfgnfmqfjx6vaekl5y
Deep Learning in Detection and Diagnosis of Covid-19 using Radiology Modalities: A Systematic Review
[article]
2020
arXiv
pre-print
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Accordingly, medical and computer researchers tended to use machine-learning models to analyze radiology images. ...
Purpose: Early detection and diagnosis of Covid-19 and accurate separation of patients with non-Covid-19 cases at the lowest cost and in the early stages of the disease are one of the main challenges in ...
In medical texts, detection is considered as a prelude to diagnosis. ...
arXiv:2012.11577v1
fatcat:3rnb7xskrbemlark5wo6n3maxy
Novel coronavirus (COVID-19) diagnosis using computer vision and artificial intelligence techniques: a review
2021
Multimedia tools and applications
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In this paper, a major review on image acquisition, segmentation, diagnosis, avoidance, and management are presented. ...
against COVID-19. ...
S'anchez, "A survey on deep learning in medical image analysis," Med Image Anal, vol. 42, pp. 60-88, 2017. 65. ...
doi:10.1007/s11042-021-10714-5
pmid:33686333
pmcid:PMC7928188
fatcat:t7nlhic4lzhy7ibkaw7cohnjvi
Deep Neural Networks for COVID-19 Detection and Diagnosis using Images and Acoustic-based Techniques: A Recent Review
[article]
2021
arXiv
pre-print
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In this study, we also give a brief review of the latest applications of cough analysis to early screen the COVID-19, and human mobility estimation to limit its spread. ...
The Computed Tomography of the chest and X-ray images give a rich representation of the patient's lung that is less time-consuming and allows an efficient viral pneumonia detection using the DL algorithms ...
It has received wide acceptance by the scientists and the medical community. In the case of COVID-19, CT scans and X-ray images can play a vital role in the early diagnosis of the disease. ...
arXiv:2012.07655v4
fatcat:ivmhcw4kmfbgzouxaffdh3oa6i
A Review of Recent Deep Learning Models in COVID-19 Diagnosis
2021
European Journal of Engineering and Technology Research
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Deep Neural Networks that are explored in this paper have contributed to the detection of COVID-19 from imaging sources. ...
Artificial intelligence has likewise contributed to managing the COVID-19 pandemic in various aspects within a short span of time. ...
This paper has attempted to make a review of deep architectures from literature pertinent to COVID-19 diagnosis. ...
doi:10.24018/ejers.2021.6.5.2485
fatcat:gnq65jib55bhpc5kwecjrpuu3m
A Review on Deep Learning Techniques for the Diagnosis of Novel Coronavirus (COVID-19)
[article]
2020
arXiv
pre-print
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This paper aims to overview the recently developed systems based on deep learning techniques using different medical imaging modalities like Computer Tomography (CT) and X-ray. ...
This review specifically discusses the systems developed for COVID-19 diagnosis using deep learning techniques and provides insights on well-known data sets used to train these networks. ...
In this paper, we have reviewed a total of 45 COVID-19 diagnosis systems. ...
arXiv:2008.04815v1
fatcat:zxfzqyq6hvhhhdgj3jdqapbc5q
A Review on Deep Learning Techniques for the Diagnosis of Novel Coronavirus (COVID-19)
2021
IEEE Access
Preserved Fulltext
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This paper aims to overview the recently developed systems based on deep learning techniques using different medical imaging modalities like Computer Tomography (CT) and X-ray. ...
This review specifically discusses the systems developed for COVID-19 diagnosis using deep learning techniques and provides insights on well-known data sets used to train these networks. ...
popular for medical image analysis. ...
doi:10.1109/access.2021.3058537
pmid:34976571
pmcid:PMC8675557
fatcat:d52pbcisz5gufdew4bjwiex7ca
A Comprehensive Review on Medical Diagnosis Using Machine Learning
2021
Computers Materials & Continua
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Diagnostic errors have adverse effects on the treatment of a patient. Unnecessary treatments increase the medical bills and deteriorate the health of a patient. ...
The use of machine learning could assist the doctors in making decisions on time, and could also be used as a second opinion or supporting tool. ...
Therefore, early identification of COVID-19 becomes necessary. In this regard, Elaziz et al. [47] proposed a CNN based method to detect COVID-19 using chest x-ray images. ...
doi:10.32604/cmc.2021.014943
fatcat:zgrkw4he5zhuzhf4fsjyerztge
Impact Analysis of Machine Learning Techniques for COVID-19 Diagnosis: A Critical Review
2021
Turkish Journal of Computer and Mathematics Education
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This paper provides the works done in COVID-19 diagnosis, the role of ML and DL based methods to solve this problem, and presents limitations with respect to COVID-19 diagnosis. ...
COVID-19 virus belongs to the severe acute respiratory syndrome (SARS) family raised a situation of health emergency in almost all the countries of the world. ...
A. Amyar, R. Modzelewski, and S. Ruan, "MULTI-TASK DEEP LEARNING BASED CT IMAGING ANALYSIS FOR COVID-19 : CLASSIFICATION AND SEGMENTATION General Electric Healthcare , ...
doi:10.17762/turcomat.v12i2.863
fatcat:64e3jigqrnhdxctpvw5rfcfkma
Deep Learning in the Detection and Diagnosis of COVID-19 Using Radiology Modalities: A Systematic Review
2021
Journal of Healthcare Engineering
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The application of deep learning in the field of COVID-19 radiologic image processing reduces false-positive and negative errors in the detection and diagnosis of this disease and offers a unique opportunity ...
Accordingly, medical and computer researchers tend to use machine-learning models to analyze radiology images. Material and Methods. ...
Purpose of Deep Learning in the Analysis of Radiology Images about COVID-19. Image-based diagnostic methods in epidemics play a key role in the screening of affected cases. ...
doi:10.1155/2021/6677314
pmid:33747419
pmcid:PMC7958142
fatcat:ja7k7565yjbgfpm6spywukdpxe
Human Body-Related Disease Diagnosis Systems Using CMOS Image Sensors: A Systematic Review
2021
Sensors
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CMOS image sensor (CIS) became a prominent technology in assisting the monitoring and clinical diagnosis devices to treat diseases in the medical domain. ...
Specifically, 3.2 million deaths are reported yearly due to heart disease, cancer, Alzheimer's disease, diabetes, and COVID-19. ...
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35 fps
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Medical
COVID-19 risk
assessment [40]
24
2021
Smartphone
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N/A
N/A
N/A
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N/A
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Medical
COVID-19 Saliva test [41]
25
2016
N/A
N/A
240 ...
doi:10.3390/s21062098
pmid:33802718
pmcid:PMC8002412
fatcat:bkzvivl3zjhobikwgxcn55iuca
Artificial Intelligence Is Reshaping Healthcare Amid Covid-19: A Review in the Context of Diagnosis & Prognosis
2021
Diagnostics
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Using critical literature review and experts' opinion, a total of 11 factors affecting COVID-19 diagnosis and prognosis were detected, and we eventually used an interpretive structural model (ISM) to build ...
The search terms used were 'Covid-19', 'AI', 'diagnosis', and 'prognosis'. ...
The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results. ...
doi:10.3390/diagnostics11091604
pmid:34573946
pmcid:PMC8471992
fatcat:654lmrjdgbg7tkozzdntyqihuy
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