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Generalization optimizing machine learning to improve CT scan radiomics and assess immune checkpoint inhibitors’ response in non-small cell lung cancer: a multicenter cohort study
Research article (Frontiers in Oncology, 2023) · cited 12× · AI/ML
Generalization optimizing machine learning to improve CT scan radiomics and assess immune checkpoint inhibitors’ response in non-small cell lung cancer: a multicenter cohort study
Summary
Generalization optimizing machine learning to improve CT scan radiomics and assess immune checkpoint inhibitors’ response in non-small cell lung cancer: a multicenter cohort study is a scholarly article[1].
Key Facts
Generalization optimizing machine learning to improve CT scan radiomics and assess immune checkpoint inhibitors’ response in non-small cell lung cancer: a multicenter cohort study'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). Generalization optimizing machine learning to improve CT scan radiomics and assess immune checkpoint inhibitors’ response in non-small cell lung cancer: a multicenter cohort study. Retrieved May 24, 2026, from https://4ort.xyz/entity/generalization-optimizing-machine-learning-to-improve-ct-scan-radiomics-and-assess-immune-checkpoint-inhibitors-response
MLA“Generalization optimizing machine learning to improve CT scan radiomics and assess immune checkpoint inhibitors’ response in non-small cell lung cancer: a multicenter cohort study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/generalization-optimizing-machine-learning-to-improve-ct-scan-radiomics-and-assess-immune-checkpoint-inhibitors-response.
BibTeX@misc{4ortxyz_generalization-optimizing-machine-learning-to-improve-ct-scan-radiomics-and-assess-immune-checkpoint-inhibitors-response_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Generalization optimizing machine learning to improve CT scan radiomics and assess immune checkpoint inhibitors’ response in non-small cell lung cancer: a multicenter cohort study}}, year = {2026}, url = {https://4ort.xyz/entity/generalization-optimizing-machine-learning-to-improve-ct-scan-radiomics-and-assess-immune-checkpoint-inhibitors-response}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Generalization optimizing machine learning to improve CT scan radiomics and assess immune checkpoint inhibitors’ response in non-small cell lung cancer: a multicenter cohort study — https://4ort.xyz/entity/generalization-optimizing-machine-learning-to-improve-ct-scan-radiomics-and-assess-immune-checkpoint-inhibitors-response (retrieved 2026-05-24)
