Home ›
Entities
› academia
› Radiomics-based machine learning models to distinguish between metastatic and healthy bone using lesion-center-based geometric regions of interest
Radiomics-based machine learning models to distinguish between metastatic and healthy bone using lesion-center-based geometric regions of interest
Research article (Scientific Reports, 2022) · cited 25× · AI/ML
Radiomics-based machine learning models to distinguish between metastatic and healthy bone using lesion-center-based geometric regions of interest
Summary
Radiomics-based machine learning models to distinguish between metastatic and healthy bone using lesion-center-based geometric regions of interest is a scholarly article[1].
Key Facts
Radiomics-based machine learning models to distinguish between metastatic and healthy bone using lesion-center-based geometric regions of interest'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). Radiomics-based machine learning models to distinguish between metastatic and healthy bone using lesion-center-based geometric regions of interest. Retrieved May 24, 2026, from https://4ort.xyz/entity/radiomics-based-machine-learning-models-to-distinguish-between-metastatic-and-healthy-bone-using-lesion-center-based-geo
MLA“Radiomics-based machine learning models to distinguish between metastatic and healthy bone using lesion-center-based geometric regions of interest.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/radiomics-based-machine-learning-models-to-distinguish-between-metastatic-and-healthy-bone-using-lesion-center-based-geo.
BibTeX@misc{4ortxyz_radiomics-based-machine-learning-models-to-distinguish-between-metastatic-and-healthy-bone-using-lesion-center-based-geo_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Radiomics-based machine learning models to distinguish between metastatic and healthy bone using lesion-center-based geometric regions of interest}}, year = {2026}, url = {https://4ort.xyz/entity/radiomics-based-machine-learning-models-to-distinguish-between-metastatic-and-healthy-bone-using-lesion-center-based-geo}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Radiomics-based machine learning models to distinguish between metastatic and healthy bone using lesion-center-based geometric regions of interest — https://4ort.xyz/entity/radiomics-based-machine-learning-models-to-distinguish-between-metastatic-and-healthy-bone-using-lesion-center-based-geo (retrieved 2026-05-24)
