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Machine learning helps identifying volume-confounding effects in radiomics

Research article (Physica Medica, 2020) · cited 78× · AI/ML
academia openalex:W3008840315
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Machine learning helps identifying volume-confounding effects in radiomics

Summary

Machine learning helps identifying volume-confounding effects in radiomics is a scholarly article[1].

Key Facts

  • Machine learning helps identifying volume-confounding effects in radiomics's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Machine learning helps identifying volume-confounding effects in radiomics. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-helps-identifying-volume-confounding-effects-in-radiomics
MLA “Machine learning helps identifying volume-confounding effects in radiomics.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-helps-identifying-volume-confounding-effects-in-radiomics.
BibTeX @misc{4ortxyz_machine-learning-helps-identifying-volume-confounding-effects-in-radiomics_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning helps identifying volume-confounding effects in radiomics}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-helps-identifying-volume-confounding-effects-in-radiomics}, note = {Accessed: 2026-05-24}}
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