Predicting adenocarcinoma recurrence using computational texture models of nodule components in lung CT
Summary
Predicting adenocarcinoma recurrence using computational texture models of nodule components in lung CT is a scholarly article[1].
Key Facts
Predicting adenocarcinoma recurrence using computational texture models of nodule components in lung CT's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Predicting adenocarcinoma recurrence using computational texture models of nodule components in lung CT. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-adenocarcinoma-recurrence-using-computational-texture-models-of-nodule-components-in-lung-ct
MLA“Predicting adenocarcinoma recurrence using computational texture models of nodule components in lung CT.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-adenocarcinoma-recurrence-using-computational-texture-models-of-nodule-components-in-lung-ct.
BibTeX@misc{4ortxyz_predicting-adenocarcinoma-recurrence-using-computational-texture-models-of-nodule-components-in-lung-ct_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting adenocarcinoma recurrence using computational texture models of nodule components in lung CT}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-adenocarcinoma-recurrence-using-computational-texture-models-of-nodule-components-in-lung-ct}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting adenocarcinoma recurrence using computational texture models of nodule components in lung CT — https://4ort.xyz/entity/predicting-adenocarcinoma-recurrence-using-computational-texture-models-of-nodule-components-in-lung-ct (retrieved 2026-05-24)