Visual ensemble selection of deep convolutional neural networks for 3D segmentation of breast tumors on dynamic contrast enhanced MRI

OBJECTIVES: To develop a visual ensemble selection of deep convolutional neural networks (CNN) for 3D segmentation of breast tumors using T1-weighted dynamic contrast-enhanced (T1-DCE) MRI. METHODS: Multi-center 3D T1-DCE MRI (n = 141) were acquired for a cohort of patients diagnosed with locally ad...

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Detalles Bibliográficos
Autores principales: Rahimpour, Masoomeh, Saint Martin, Marie-Judith, Frouin, Frédérique, Akl, Pia, Orlhac, Fanny, Koole, Michel, Malhaire, Caroline
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Imaging Informatics and Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9889463/
https://www.ncbi.nlm.nih.gov/pubmed/36074262
http://dx.doi.org/10.1007/s00330-022-09113-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9889463/
https://www.ncbi.nlm.nih.gov/pubmed/36074262
http://dx.doi.org/10.1007/s00330-022-09113-7

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