Convolutional neural network model based on radiological images to support COVID-19 diagnosis: Evaluating database biases
Summary
Convolutional neural network model based on radiological images to support COVID-19 diagnosis: Evaluating database biases is a scholarly article[1].
Key Facts
Convolutional neural network model based on radiological images to support COVID-19 diagnosis: Evaluating database biases's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Convolutional neural network model based on radiological images to support COVID-19 diagnosis: Evaluating database biases. Retrieved May 24, 2026, from https://4ort.xyz/entity/convolutional-neural-network-model-based-on-radiological-images-to-support-covid-19-diagnosis-evaluating-database-biases
MLA“Convolutional neural network model based on radiological images to support COVID-19 diagnosis: Evaluating database biases.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/convolutional-neural-network-model-based-on-radiological-images-to-support-covid-19-diagnosis-evaluating-database-biases.
BibTeX@misc{4ortxyz_convolutional-neural-network-model-based-on-radiological-images-to-support-covid-19-diagnosis-evaluating-database-biases_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Convolutional neural network model based on radiological images to support COVID-19 diagnosis: Evaluating database biases}}, year = {2026}, url = {https://4ort.xyz/entity/convolutional-neural-network-model-based-on-radiological-images-to-support-covid-19-diagnosis-evaluating-database-biases}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Convolutional neural network model based on radiological images to support COVID-19 diagnosis: Evaluating database biases — https://4ort.xyz/entity/convolutional-neural-network-model-based-on-radiological-images-to-support-covid-19-diagnosis-evaluating-database-biases (retrieved 2026-05-24)
