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Radiomic analysis in contrast-enhanced mammography using a multivendor data set: accuracy of models according to segmentation techniques
OBJECTIVE: Radiomic analysis of contrast-enhanced mammographic (CEM) images is an emerging field. The aims of this study were to build classification models to distinguish benign and malignant lesions using a multivendor data set and compare segmentation techniques. METHODS: CEM images were acquired...
Autores principales: | Savaridas, Sarah L, Agrawal, Utkarsh, Fagbamigbe, Adeniyi Francis, Tennant, Sarah L, McCowan, Colin |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The British Institute of Radiology.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10161926/ https://www.ncbi.nlm.nih.gov/pubmed/36802982 http://dx.doi.org/10.1259/bjr.20220980 |
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