Home ›
Entities
› academia
› Wavelet transformation can enhance computed tomography texture features: a multicenter radiomics study for grade assessment of COVID-19 pulmonary lesions
Wavelet transformation can enhance computed tomography texture features: a multicenter radiomics study for grade assessment of COVID-19 pulmonary lesions
Research article (Quantitative Imaging in Medicine and Surgery, 2022) · cited 41× · AI/ML
Wavelet transformation can enhance computed tomography texture features: a multicenter radiomics study for grade assessment of COVID-19 pulmonary lesions
Summary
Wavelet transformation can enhance computed tomography texture features: a multicenter radiomics study for grade assessment of COVID-19 pulmonary lesions is a scholarly article[1].
Key Facts
Wavelet transformation can enhance computed tomography texture features: a multicenter radiomics study for grade assessment of COVID-19 pulmonary lesions'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). Wavelet transformation can enhance computed tomography texture features: a multicenter radiomics study for grade assessment of COVID-19 pulmonary lesions. Retrieved May 24, 2026, from https://4ort.xyz/entity/wavelet-transformation-can-enhance-computed-tomography-texture-features-a-multicenter-radiomics-study-for-grade-assessme
MLA“Wavelet transformation can enhance computed tomography texture features: a multicenter radiomics study for grade assessment of COVID-19 pulmonary lesions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/wavelet-transformation-can-enhance-computed-tomography-texture-features-a-multicenter-radiomics-study-for-grade-assessme.
BibTeX@misc{4ortxyz_wavelet-transformation-can-enhance-computed-tomography-texture-features-a-multicenter-radiomics-study-for-grade-assessme_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Wavelet transformation can enhance computed tomography texture features: a multicenter radiomics study for grade assessment of COVID-19 pulmonary lesions}}, year = {2026}, url = {https://4ort.xyz/entity/wavelet-transformation-can-enhance-computed-tomography-texture-features-a-multicenter-radiomics-study-for-grade-assessme}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Wavelet transformation can enhance computed tomography texture features: a multicenter radiomics study for grade assessment of COVID-19 pulmonary lesions — https://4ort.xyz/entity/wavelet-transformation-can-enhance-computed-tomography-texture-features-a-multicenter-radiomics-study-for-grade-assessme (retrieved 2026-05-24)
