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Using deep neural networks and interpretability methods to identify gene expression patterns that predict radiomic features and histology in non-small cell lung cancer
Research article (Journal of Medical Imaging, 2021) · cited 19× · AI/ML
Using deep neural networks and interpretability methods to identify gene expression patterns that predict radiomic features and histology in non-small cell lung cancer
Summary
Using deep neural networks and interpretability methods to identify gene expression patterns that predict radiomic features and histology in non-small cell lung cancer is a scholarly article[1].
Key Facts
Using deep neural networks and interpretability methods to identify gene expression patterns that predict radiomic features and histology in non-small cell lung cancer's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Using deep neural networks and interpretability methods to identify gene expression patterns that predict radiomic features and histology in non-small cell lung cancer. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-deep-neural-networks-and-interpretability-methods-to-identify-gene-expression-patterns-that-predict-radiomic-featu
MLA“Using deep neural networks and interpretability methods to identify gene expression patterns that predict radiomic features and histology in non-small cell lung cancer.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-deep-neural-networks-and-interpretability-methods-to-identify-gene-expression-patterns-that-predict-radiomic-featu.
BibTeX@misc{4ortxyz_using-deep-neural-networks-and-interpretability-methods-to-identify-gene-expression-patterns-that-predict-radiomic-featu_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using deep neural networks and interpretability methods to identify gene expression patterns that predict radiomic features and histology in non-small cell lung cancer}}, year = {2026}, url = {https://4ort.xyz/entity/using-deep-neural-networks-and-interpretability-methods-to-identify-gene-expression-patterns-that-predict-radiomic-featu}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Using deep neural networks and interpretability methods to identify gene expression patterns that predict radiomic features and histology in non-small cell lung cancer — https://4ort.xyz/entity/using-deep-neural-networks-and-interpretability-methods-to-identify-gene-expression-patterns-that-predict-radiomic-featu (retrieved 2026-05-24)
