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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
BACKGROUND: Our aims were to determine if features derived from texture analysis (TA) can distinguish normal, benign, and malignant tissue on automated breast ultrasound (ABUS); to evaluate whether machine learning (ML) applied to TA can categorise ABUS findings; and to compare ML to the analysis of...
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| Wydane w: | Eur Radiol Exp |
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| Główni autorzy: | , , , , , , , , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Springer International Publishing
2019
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6825080/ https://ncbi.nlm.nih.gov/pubmed/31676937 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s41747-019-0121-6 |
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