Home ›
Entities
› academia
› Core samples for radiomics features that are insensitive to tumor segmentation: method and pilot study using CT images of hepatocellular carcinoma
Core samples for radiomics features that are insensitive to tumor segmentation: method and pilot study using CT images of hepatocellular carcinoma
Research article (Journal of Medical Imaging, 2015) · cited 61× · AI/ML
Core samples for radiomics features that are insensitive to tumor segmentation: method and pilot study using CT images of hepatocellular carcinoma
Summary
Core samples for radiomics features that are insensitive to tumor segmentation: method and pilot study using CT images of hepatocellular carcinoma is a scholarly article[1].
Key Facts
Core samples for radiomics features that are insensitive to tumor segmentation: method and pilot study using CT images of 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). Core samples for radiomics features that are insensitive to tumor segmentation: method and pilot study using CT images of hepatocellular carcinoma. Retrieved May 24, 2026, from https://4ort.xyz/entity/core-samples-for-radiomics-features-that-are-insensitive-to-tumor-segmentation-method-and-pilot-study-using-ct-images-of
MLA“Core samples for radiomics features that are insensitive to tumor segmentation: method and pilot study using CT images of hepatocellular carcinoma.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/core-samples-for-radiomics-features-that-are-insensitive-to-tumor-segmentation-method-and-pilot-study-using-ct-images-of.
BibTeX@misc{4ortxyz_core-samples-for-radiomics-features-that-are-insensitive-to-tumor-segmentation-method-and-pilot-study-using-ct-images-of_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Core samples for radiomics features that are insensitive to tumor segmentation: method and pilot study using CT images of hepatocellular carcinoma}}, year = {2026}, url = {https://4ort.xyz/entity/core-samples-for-radiomics-features-that-are-insensitive-to-tumor-segmentation-method-and-pilot-study-using-ct-images-of}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Core samples for radiomics features that are insensitive to tumor segmentation: method and pilot study using CT images of hepatocellular carcinoma — https://4ort.xyz/entity/core-samples-for-radiomics-features-that-are-insensitive-to-tumor-segmentation-method-and-pilot-study-using-ct-images-of (retrieved 2026-05-24)
