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Diagnostic performance of machine learning applied to texture analysis-derived features for breast lesion characterisation at automated breast ultrasound: a pilot study

Research article (European Radiology Experimental, 2019) · cited 17× · AI/ML
academia openalex:W2987745555
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Diagnostic performance of machine learning applied to texture analysis-derived features for breast lesion characterisation at automated breast ultrasound: a pilot study

Summary

Diagnostic performance of machine learning applied to texture analysis-derived features for breast lesion characterisation at automated breast ultrasound: a pilot study is a scholarly article[1].

Key Facts

  • Diagnostic performance of machine learning applied to texture analysis-derived features for breast lesion characterisation at automated breast ultrasound: a pilot study's instance of is recorded as scholarly article[2].

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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). Diagnostic performance of machine learning applied to texture analysis-derived features for breast lesion characterisation at automated breast ultrasound: a pilot study. Retrieved May 24, 2026, from https://4ort.xyz/entity/diagnostic-performance-of-machine-learning-applied-to-texture-analysis-derived-features-for-breast-lesion-characterisati
MLA “Diagnostic performance of machine learning applied to texture analysis-derived features for breast lesion characterisation at automated breast ultrasound: a pilot study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/diagnostic-performance-of-machine-learning-applied-to-texture-analysis-derived-features-for-breast-lesion-characterisati.
BibTeX @misc{4ortxyz_diagnostic-performance-of-machine-learning-applied-to-texture-analysis-derived-features-for-breast-lesion-characterisati_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Diagnostic performance of machine learning applied to texture analysis-derived features for breast lesion characterisation at automated breast ultrasound: a pilot study}}, year = {2026}, url = {https://4ort.xyz/entity/diagnostic-performance-of-machine-learning-applied-to-texture-analysis-derived-features-for-breast-lesion-characterisati}, note = {Accessed: 2026-05-24}}
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