Loading...
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...
Na minha lista:
| Udgivet i: | Eur Radiol Exp |
|---|---|
| Main Authors: | , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Springer International Publishing
2019
|
| Fag: | |
| Online adgang: | 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 |
| Tags: |
Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!
|