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Performance of machine learning software to classify breast lesions using BI-RADS radiomic features on ultrasound images
BACKGROUND: The purpose of this work was to evaluate computable Breast Imaging Reporting and Data System (BI-RADS) radiomic features to classify breast masses on ultrasound B-mode images. METHODS: The database consisted of 206 consecutive lesions (144 benign and 62 malignant) proved by percutaneous...
Tallennettuna:
| Julkaisussa: | Eur Radiol Exp |
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| Päätekijät: | , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Springer International Publishing
2019
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6682836/ https://ncbi.nlm.nih.gov/pubmed/31385114 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s41747-019-0112-7 |
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