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Peritumoral and Intratumoral Texture Features Based on Multiparametric <scp>MRI</scp> and Multiple Machine Learning Methods to Preoperatively Evaluate the Pathological Outcomes of Pancreatic Cancer
Research article (Journal of Magnetic Resonance Imaging, 2022) · cited 31× · AI/ML
Peritumoral and Intratumoral Texture Features Based on Multiparametric MRI and Multiple Machine Learning Methods to Preoperatively Evaluate the Pathological Outcomes of Pancreatic Cancer
Summary
Peritumoral and Intratumoral Texture Features Based on Multiparametric MRI and Multiple Machine Learning Methods to Preoperatively Evaluate the Pathological Outcomes of Pancreatic Cancer is a scholarly article[1].
Key Facts
Peritumoral and Intratumoral Texture Features Based on Multiparametric MRI and Multiple Machine Learning Methods to Preoperatively Evaluate the Pathological Outcomes of Pancreatic Cancer'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). Peritumoral and Intratumoral Texture Features Based on Multiparametric <scp>MRI</scp> and Multiple Machine Learning Methods to Preoperatively Evaluate the Pathological Outcomes of Pancreatic Cancer. Retrieved May 24, 2026, from https://4ort.xyz/entity/peritumoral-and-intratumoral-texture-features-based-on-multiparametric-scp-mri-scp-and-multiple-machine-learning-methods
MLA“Peritumoral and Intratumoral Texture Features Based on Multiparametric <scp>MRI</scp> and Multiple Machine Learning Methods to Preoperatively Evaluate the Pathological Outcomes of Pancreatic Cancer.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/peritumoral-and-intratumoral-texture-features-based-on-multiparametric-scp-mri-scp-and-multiple-machine-learning-methods.
BibTeX@misc{4ortxyz_peritumoral-and-intratumoral-texture-features-based-on-multiparametric-scp-mri-scp-and-multiple-machine-learning-methods_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Peritumoral and Intratumoral Texture Features Based on Multiparametric <scp>MRI</scp> and Multiple Machine Learning Methods to Preoperatively Evaluate the Pathological Outcomes of Pancreatic Cancer}}, year = {2026}, url = {https://4ort.xyz/entity/peritumoral-and-intratumoral-texture-features-based-on-multiparametric-scp-mri-scp-and-multiple-machine-learning-methods}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Peritumoral and Intratumoral Texture Features Based on Multiparametric <scp>MRI</scp> and Multiple Machine Learning Methods to Preoperatively Evaluate the Pathological Outcomes of Pancreatic Cancer — https://4ort.xyz/entity/peritumoral-and-intratumoral-texture-features-based-on-multiparametric-scp-mri-scp-and-multiple-machine-learning-methods (retrieved 2026-05-24)
