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CT texture analysis in predicting treatment response and survival in patients with hepatocellular carcinoma treated with transarterial chemoembolization using random forest models
Research article (BMC Cancer, 2023) · cited 14× · AI/ML
CT texture analysis in predicting treatment response and survival in patients with hepatocellular carcinoma treated with transarterial chemoembolization using random forest models
Summary
CT texture analysis in predicting treatment response and survival in patients with hepatocellular carcinoma treated with transarterial chemoembolization using random forest models is a scholarly article[1].
Key Facts
CT texture analysis in predicting treatment response and survival in patients with hepatocellular carcinoma treated with transarterial chemoembolization using random forest models's instance of is recorded as scholarly article[2].
References
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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). CT texture analysis in predicting treatment response and survival in patients with hepatocellular carcinoma treated with transarterial chemoembolization using random forest models. Retrieved May 24, 2026, from https://4ort.xyz/entity/ct-texture-analysis-in-predicting-treatment-response-and-survival-in-patients-with-hepatocellular-carcinoma-treated-with
MLA“CT texture analysis in predicting treatment response and survival in patients with hepatocellular carcinoma treated with transarterial chemoembolization using random forest models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ct-texture-analysis-in-predicting-treatment-response-and-survival-in-patients-with-hepatocellular-carcinoma-treated-with.
BibTeX@misc{4ortxyz_ct-texture-analysis-in-predicting-treatment-response-and-survival-in-patients-with-hepatocellular-carcinoma-treated-with_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{CT texture analysis in predicting treatment response and survival in patients with hepatocellular carcinoma treated with transarterial chemoembolization using random forest models}}, year = {2026}, url = {https://4ort.xyz/entity/ct-texture-analysis-in-predicting-treatment-response-and-survival-in-patients-with-hepatocellular-carcinoma-treated-with}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): CT texture analysis in predicting treatment response and survival in patients with hepatocellular carcinoma treated with transarterial chemoembolization using random forest models — https://4ort.xyz/entity/ct-texture-analysis-in-predicting-treatment-response-and-survival-in-patients-with-hepatocellular-carcinoma-treated-with (retrieved 2026-05-24)
