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...

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Detalles Bibliográficos
Autores principales: Savaridas, Sarah L, Agrawal, Utkarsh, Fagbamigbe, Adeniyi Francis, Tennant, Sarah L, McCowan, Colin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The British Institute of Radiology. 2023
Materias:
Full Paper
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

Internet

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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