Home ›
Entities
› academia
› Deep learning radiomics based on contrast enhanced computed tomography predicts microvascular invasion and survival outcome in early stage hepatocellular carcinoma
Deep learning radiomics based on contrast enhanced computed tomography predicts microvascular invasion and survival outcome in early stage hepatocellular carcinoma
Research article (European Journal of Surgical Oncology, 2021) · cited 49× · AI/ML
Deep learning radiomics based on contrast enhanced computed tomography predicts microvascular invasion and survival outcome in early stage hepatocellular carcinoma
Summary
Deep learning radiomics based on contrast enhanced computed tomography predicts microvascular invasion and survival outcome in early stage hepatocellular carcinoma is a scholarly article[1].
Key Facts
Deep learning radiomics based on contrast enhanced computed tomography predicts microvascular invasion and survival outcome in early stage hepatocellular carcinoma'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). Deep learning radiomics based on contrast enhanced computed tomography predicts microvascular invasion and survival outcome in early stage hepatocellular carcinoma. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-radiomics-based-on-contrast-enhanced-computed-tomography-predicts-microvascular-invasion-and-survival-outc
MLA“Deep learning radiomics based on contrast enhanced computed tomography predicts microvascular invasion and survival outcome in early stage hepatocellular carcinoma.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-radiomics-based-on-contrast-enhanced-computed-tomography-predicts-microvascular-invasion-and-survival-outc.
BibTeX@misc{4ortxyz_deep-learning-radiomics-based-on-contrast-enhanced-computed-tomography-predicts-microvascular-invasion-and-survival-outc_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep learning radiomics based on contrast enhanced computed tomography predicts microvascular invasion and survival outcome in early stage hepatocellular carcinoma}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-radiomics-based-on-contrast-enhanced-computed-tomography-predicts-microvascular-invasion-and-survival-outc}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep learning radiomics based on contrast enhanced computed tomography predicts microvascular invasion and survival outcome in early stage hepatocellular carcinoma — https://4ort.xyz/entity/deep-learning-radiomics-based-on-contrast-enhanced-computed-tomography-predicts-microvascular-invasion-and-survival-outc (retrieved 2026-05-24)
