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Diagnostic performance of commercially available vs. in-house radiomics software in classification of CT images from patients with pancreatic ductal adenocarcinoma vs. healthy controls
Research article (Abdominal Radiology, 2020) · cited 19× · AI/ML
Diagnostic performance of commercially available vs. in-house radiomics software in classification of CT images from patients with pancreatic ductal adenocarcinoma vs. healthy controls
Summary
Diagnostic performance of commercially available vs. in-house radiomics software in classification of CT images from patients with pancreatic ductal adenocarcinoma vs. healthy controls is a scholarly article[1].
Key Facts
Diagnostic performance of commercially available vs. in-house radiomics software in classification of CT images from patients with pancreatic ductal adenocarcinoma vs. healthy controls's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Diagnostic performance of commercially available vs. in-house radiomics software in classification of CT images from patients with pancreatic ductal adenocarcinoma vs. healthy controls. Retrieved May 24, 2026, from https://4ort.xyz/entity/diagnostic-performance-of-commercially-available-vs-in-house-radiomics-software-in-classification-of-ct-images-from-pati
MLA“Diagnostic performance of commercially available vs. in-house radiomics software in classification of CT images from patients with pancreatic ductal adenocarcinoma vs. healthy controls.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/diagnostic-performance-of-commercially-available-vs-in-house-radiomics-software-in-classification-of-ct-images-from-pati.
BibTeX@misc{4ortxyz_diagnostic-performance-of-commercially-available-vs-in-house-radiomics-software-in-classification-of-ct-images-from-pati_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Diagnostic performance of commercially available vs. in-house radiomics software in classification of CT images from patients with pancreatic ductal adenocarcinoma vs. healthy controls}}, year = {2026}, url = {https://4ort.xyz/entity/diagnostic-performance-of-commercially-available-vs-in-house-radiomics-software-in-classification-of-ct-images-from-pati}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Diagnostic performance of commercially available vs. in-house radiomics software in classification of CT images from patients with pancreatic ductal adenocarcinoma vs. healthy controls — https://4ort.xyz/entity/diagnostic-performance-of-commercially-available-vs-in-house-radiomics-software-in-classification-of-ct-images-from-pati (retrieved 2026-05-24)
