Cargando…
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...
| Autores principales: | , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2019
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6682836/ https://www.ncbi.nlm.nih.gov/pubmed/31385114 http://dx.doi.org/10.1186/s41747-019-0112-7 |