ArticleMultimedia tools and applications2021
Novel coronavirus (COVID-19) diagnosis using computer vision and artificial intelligence techniques: a review.
Article in Multimedia tools and applications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Comprehensive Review of Artificial Intelligence in Prevention and Treatment of COVID-19 Pandemic.Frontiers in genetics · 2022Pooled it
- Label-Free Biochemical Sensing Using Processed Optical Fiber Interferometry: A Review.ACS omega · 2024Review
- Optimal feature selection for COVID-19 detection with CT images enabled by metaheuristic optimization and artificial intelligence.Multimedia tools and applications · 2023Article
- A survey on computer vision based human analysis in the COVID-19 era.Image and vision computing · 2023Article
- Novel Comparative Study for the Detection of COVID-19 Using CT Scan and Chest X-ray Images.International journal of environmental research and public health · 2023Article
- To segment or not to segment: COVID-19 detection for chest X-rays.Informatics in medicine unlocked · 2023Article
- Application of Machine Learning and Deep Learning Techniques for COVID-19 Screening Using Radiological Imaging: A Comprehensive Review.SN computer science · 2023Article
- Early Detection and Control of the Next Epidemic Wave Using Health Communications: Development of an Artificial Intelligence-Based Tool and Its Validation on COVID-19 Data from the US.International journal of environmental research and public health · 2022Article
- Coverage path planning for spraying drones.Computers & industrial engineering · 2022Article
- A transfer learning based deep learning model to diagnose covid-19 CT scan images.Health and technology · 2022Article
- Machine learning-based automatic detection of novel coronavirus (COVID-19) disease.Multimedia tools and applications · 2022Article
- Epidemiological Mucormycosis treatment and diagnosis challenges using the adaptive properties of computer vision techniques based approach: a review.Multimedia tools and applications · 2022Article
- Hand hygiene monitoring and compliance system using convolution neural networks.Multimedia tools and applications · 2022Article
- Comparative Study Based on Analysis of Coronavirus Disease (COVID-19) Detection and Prediction Using Machine Learning Models.SN computer science · 2022Review
- Multi-task deep learning-based survival analysis on the prognosis of late AMD using the longitudinal data in AREDS.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2021Article
- Automatic Segmentation of Novel Coronavirus Pneumonia Lesions in CT Images Utilizing Deep-Supervised Ensemble Learning Network.Frontiers in medicine · 2021Article
- Role of Optimal Features Selection with Machine Learning Algorithms for Chest X-ray Image Analysis.Journal of medical physicsArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The universal transmission of pandemic COVID-19 (Coronavirus) causes an immediate need to commit in the fight across the whole human population. The emergencies for human health care are limited for this abrupt outbreak and abandoned environment. In this situation, inventive automation like computer vision (machine learning, deep learning, artificial intelligence), medical imaging (computed tomography, X-Ray) has developed an encouraging solution against COVID-19. In recent months, different techniques using image processing are done by various researchers. In this paper, a major review on image acquisition, segmentation, diagnosis, avoidance, and management are presented. An analytical comparison of the various proposed algorithm by researchers for coronavirus has been carried out. Also, challenges and motivation for research in the future to deal with coronavirus are indicated. The clinical impact and use of computer vision and deep learning were discussed and we hope that dermatologists may have better understanding of these areas from the study.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.