Home ›
Entities
› academia
› MRI radiomics-based machine learning model integrated with clinic-radiological features for preoperative differentiation of sinonasal inverted papilloma and malignant sinonasal tumors
MRI radiomics-based machine learning model integrated with clinic-radiological features for preoperative differentiation of sinonasal inverted papilloma and malignant sinonasal tumors
Research article (Frontiers in Oncology, 2022) · cited 13× · AI/ML
MRI radiomics-based machine learning model integrated with clinic-radiological features for preoperative differentiation of sinonasal inverted papilloma and malignant sinonasal tumors
Summary
MRI radiomics-based machine learning model integrated with clinic-radiological features for preoperative differentiation of sinonasal inverted papilloma and malignant sinonasal tumors is a scholarly article[1].
Key Facts
MRI radiomics-based machine learning model integrated with clinic-radiological features for preoperative differentiation of sinonasal inverted papilloma and malignant sinonasal tumors'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). MRI radiomics-based machine learning model integrated with clinic-radiological features for preoperative differentiation of sinonasal inverted papilloma and malignant sinonasal tumors. Retrieved May 24, 2026, from https://4ort.xyz/entity/mri-radiomics-based-machine-learning-model-integrated-with-clinic-radiological-features-for-preoperative-differentiation
MLA“MRI radiomics-based machine learning model integrated with clinic-radiological features for preoperative differentiation of sinonasal inverted papilloma and malignant sinonasal tumors.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mri-radiomics-based-machine-learning-model-integrated-with-clinic-radiological-features-for-preoperative-differentiation.
BibTeX@misc{4ortxyz_mri-radiomics-based-machine-learning-model-integrated-with-clinic-radiological-features-for-preoperative-differentiation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{MRI radiomics-based machine learning model integrated with clinic-radiological features for preoperative differentiation of sinonasal inverted papilloma and malignant sinonasal tumors}}, year = {2026}, url = {https://4ort.xyz/entity/mri-radiomics-based-machine-learning-model-integrated-with-clinic-radiological-features-for-preoperative-differentiation}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): MRI radiomics-based machine learning model integrated with clinic-radiological features for preoperative differentiation of sinonasal inverted papilloma and malignant sinonasal tumors — https://4ort.xyz/entity/mri-radiomics-based-machine-learning-model-integrated-with-clinic-radiological-features-for-preoperative-differentiation (retrieved 2026-05-24)
