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Diagnosis of COVID-19 in CT image using CNN and XGBoost

Research article (2020 IEEE Symposium on Computers and Communications (ISCC), 2020) · cited 26× · AI/ML
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Diagnosis of COVID-19 in CT image using CNN and XGBoost

Summary

Diagnosis of COVID-19 in CT image using CNN and XGBoost is a scholarly article[1].

Key Facts

  • Diagnosis of COVID-19 in CT image using CNN and XGBoost's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Diagnosis of COVID-19 in CT image using CNN and XGBoost. Retrieved May 24, 2026, from https://4ort.xyz/entity/diagnosis-of-covid-19-in-ct-image-using-cnn-and-xgboost
MLA “Diagnosis of COVID-19 in CT image using CNN and XGBoost.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/diagnosis-of-covid-19-in-ct-image-using-cnn-and-xgboost.
BibTeX @misc{4ortxyz_diagnosis-of-covid-19-in-ct-image-using-cnn-and-xgboost_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Diagnosis of COVID-19 in CT image using CNN and XGBoost}}, year = {2026}, url = {https://4ort.xyz/entity/diagnosis-of-covid-19-in-ct-image-using-cnn-and-xgboost}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Diagnosis of COVID-19 in CT image using CNN and XGBoost — https://4ort.xyz/entity/diagnosis-of-covid-19-in-ct-image-using-cnn-and-xgboost (retrieved 2026-05-24)

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