ArticleJournal of medical imaging (Bellingham, Wash.)2021
Detection of COVID-19 from chest x-ray images using transfer learning.
Article in Journal of medical imaging (Bellingham, Wash.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Pulmonary nodule detection in low dose computed tomography using a medical-to-medical transfer learning approach.Journal of medical imaging (Bellingham, Wash.) · 2024Article
- Homogenization of multi-institutional chest x-ray images in various data transformation schemes.Journal of medical imaging (Bellingham, Wash.) · 2023Article
- Uncertain-CAM: Uncertainty-Based Ensemble Machine Voting for Improved COVID-19 CXR Classification and Explainability.Diagnostics (Basel, Switzerland) · 2023Article
- A MobileNet-based CNN model with a novel fine-tuning mechanism for COVID-19 infection detection.Soft computing · 2023Article
- A deep transfer learning approach for COVID-19 detection and exploring a sense of belonging with Diabetes.Frontiers in public health · 2023Article
- Augmentation of literature review of COVID-19 radiology.World journal of radiology · 2022Article
- An Efficient Deep Learning Model to Detect COVID-19 Using Chest X-ray Images.International journal of environmental research and public health · 2022Article
- Chest X-Ray Images to Differentiate COVID-19 from Pneumonia with Artificial Intelligence Techniques.International journal of biomedical imaging · 2022Article
- Detecting Covid19 and pneumonia from chest X-ray images using deep convolutional neural networks.Materials today. Proceedings · 2022Article
- Improved Analysis of COVID-19 Influenced Pneumonia from the Chest X-Rays Using Fine-Tuned Residual Networks.Computational intelligence and neuroscience · 2022Article
- The Progress of Medical Image Semantic Segmentation Methods for Application in COVID-19 Detection.Computational intelligence and neuroscience · 2021Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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Identifiers
What OpenQuestion holds
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.