Appearance Constrained Semi-Automatic Segmentation from DCE-MRI is Reproducible and Feasible for Breast Cancer Radiomics: A Feasibility Study

We present a segmentation approach that combines GrowCut (GC) with cancer-specific multi-parametric Gaussian Mixture Model (GCGMM) to produce accurate and reproducible segmentations. We evaluated GCGMM using a retrospectively collected 75 invasive ductal carcinoma with ERPR+ HER2− (n = 15), triple n...

Descripción completa

Detalles Bibliográficos
Autores principales: Veeraraghavan, Harini, Dashevsky, Brittany Z., Onishi, Natsuko, Sadinski, Meredith, Morris, Elizabeth, Deasy, Joseph O., Sutton, Elizabeth J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5859113/
https://www.ncbi.nlm.nih.gov/pubmed/29556054
http://dx.doi.org/10.1038/s41598-018-22980-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5859113/
https://www.ncbi.nlm.nih.gov/pubmed/29556054
http://dx.doi.org/10.1038/s41598-018-22980-9

Ejemplares similares