A Novel Unsupervised Segmentation Approach Quantifies Tumor Tissue Populations Using Multiparametric MRI: First Results with Histological Validation

PURPOSE: We aimed to precisely estimate intra-tumoral heterogeneity using spatially regularized spectral clustering (SRSC) on multiparametric MRI data and compare the efficacy of SRSC with the previously reported segmentation techniques in MRI studies. PROCEDURES: Six NMRI nu/nu mice bearing subcuta...

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Detalles Bibliográficos
Autores principales: Katiyar, Prateek, Divine, Mathew R., Kohlhofer, Ursula, Quintanilla-Martinez, Leticia, Schölkopf, Bernhard, Pichler, Bernd J., Disselhorst, Jonathan A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2016
Materias:
Brief Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5332060/
https://www.ncbi.nlm.nih.gov/pubmed/27734253
http://dx.doi.org/10.1007/s11307-016-1009-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5332060/
https://www.ncbi.nlm.nih.gov/pubmed/27734253
http://dx.doi.org/10.1007/s11307-016-1009-y

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