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Improving the performance of lung nodule classification by fusing structured and unstructured data

Research article (Information Fusion, 2022) · cited 27× · AI/ML
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Improving the performance of lung nodule classification by fusing structured and unstructured data

Summary

Improving the performance of lung nodule classification by fusing structured and unstructured data is a scholarly article[1].

Key Facts

  • Improving the performance of lung nodule classification by fusing structured and unstructured data's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Improving the performance of lung nodule classification by fusing structured and unstructured data. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-the-performance-of-lung-nodule-classification-by-fusing-structured-and-unstructured-data
MLA “Improving the performance of lung nodule classification by fusing structured and unstructured data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-the-performance-of-lung-nodule-classification-by-fusing-structured-and-unstructured-data.
BibTeX @misc{4ortxyz_improving-the-performance-of-lung-nodule-classification-by-fusing-structured-and-unstructured-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving the performance of lung nodule classification by fusing structured and unstructured data}}, year = {2026}, url = {https://4ort.xyz/entity/improving-the-performance-of-lung-nodule-classification-by-fusing-structured-and-unstructured-data}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improving the performance of lung nodule classification by fusing structured and unstructured data — https://4ort.xyz/entity/improving-the-performance-of-lung-nodule-classification-by-fusing-structured-and-unstructured-data (retrieved 2026-05-24)

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