Home ›
Entities
› academia
› Multi-classifier-based identification of COVID-19 from chest computed tomography using generalizable and interpretable radiomics features
Multi-classifier-based identification of COVID-19 from chest computed tomography using generalizable and interpretable radiomics features
Research article (European Journal of Radiology, 2021) · cited 30× · AI/ML
Multi-classifier-based identification of COVID-19 from chest computed tomography using generalizable and interpretable radiomics features
Summary
Multi-classifier-based identification of COVID-19 from chest computed tomography using generalizable and interpretable radiomics features is a scholarly article[1].
Key Facts
Multi-classifier-based identification of COVID-19 from chest computed tomography using generalizable and interpretable radiomics features's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Multi-classifier-based identification of COVID-19 from chest computed tomography using generalizable and interpretable radiomics features. Retrieved May 24, 2026, from https://4ort.xyz/entity/multi-classifier-based-identification-of-covid-19-from-chest-computed-tomography-using-generalizable-and-interpretable-r
MLA“Multi-classifier-based identification of COVID-19 from chest computed tomography using generalizable and interpretable radiomics features.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multi-classifier-based-identification-of-covid-19-from-chest-computed-tomography-using-generalizable-and-interpretable-r.
BibTeX@misc{4ortxyz_multi-classifier-based-identification-of-covid-19-from-chest-computed-tomography-using-generalizable-and-interpretable-r_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multi-classifier-based identification of COVID-19 from chest computed tomography using generalizable and interpretable radiomics features}}, year = {2026}, url = {https://4ort.xyz/entity/multi-classifier-based-identification-of-covid-19-from-chest-computed-tomography-using-generalizable-and-interpretable-r}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Multi-classifier-based identification of COVID-19 from chest computed tomography using generalizable and interpretable radiomics features — https://4ort.xyz/entity/multi-classifier-based-identification-of-covid-19-from-chest-computed-tomography-using-generalizable-and-interpretable-r (retrieved 2026-05-24)
