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18F-FDG PET/CT-based habitat radiomics combining stacking ensemble learning for predicting prognosis in hepatocellular carcinoma: a multi-center study
Research article (BMC Cancer, 2024) · cited 10× · AI/ML
18F-FDG PET/CT-based habitat radiomics combining stacking ensemble learning for predicting prognosis in hepatocellular carcinoma: a multi-center study
Summary
18F-FDG PET/CT-based habitat radiomics combining stacking ensemble learning for predicting prognosis in hepatocellular carcinoma: a multi-center study is a scholarly article[1].
Key Facts
18F-FDG PET/CT-based habitat radiomics combining stacking ensemble learning for predicting prognosis in hepatocellular carcinoma: a multi-center study'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). 18F-FDG PET/CT-based habitat radiomics combining stacking ensemble learning for predicting prognosis in hepatocellular carcinoma: a multi-center study. Retrieved May 24, 2026, from https://4ort.xyz/entity/18f-fdg-pet-ct-based-habitat-radiomics-combining-stacking-ensemble-learning-for-predicting-prognosis-in-hepatocellular-c
MLA“18F-FDG PET/CT-based habitat radiomics combining stacking ensemble learning for predicting prognosis in hepatocellular carcinoma: a multi-center study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/18f-fdg-pet-ct-based-habitat-radiomics-combining-stacking-ensemble-learning-for-predicting-prognosis-in-hepatocellular-c.
BibTeX@misc{4ortxyz_18f-fdg-pet-ct-based-habitat-radiomics-combining-stacking-ensemble-learning-for-predicting-prognosis-in-hepatocellular-c_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{18F-FDG PET/CT-based habitat radiomics combining stacking ensemble learning for predicting prognosis in hepatocellular carcinoma: a multi-center study}}, year = {2026}, url = {https://4ort.xyz/entity/18f-fdg-pet-ct-based-habitat-radiomics-combining-stacking-ensemble-learning-for-predicting-prognosis-in-hepatocellular-c}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): 18F-FDG PET/CT-based habitat radiomics combining stacking ensemble learning for predicting prognosis in hepatocellular carcinoma: a multi-center study — https://4ort.xyz/entity/18f-fdg-pet-ct-based-habitat-radiomics-combining-stacking-ensemble-learning-for-predicting-prognosis-in-hepatocellular-c (retrieved 2026-05-24)
