Comparison of unsupervised classification methods for brain tumor segmentation using multi-parametric MRI

Tumor segmentation is a particularly challenging task in high-grade gliomas (HGGs), as they are among the most heterogeneous tumors in oncology. An accurate delineation of the lesion and its main subcomponents contributes to optimal treatment planning, prognosis and follow-up. Conventional MRI (cMRI...

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Detalles Bibliográficos
Autores principales: Sauwen, N., Acou, M., Van Cauter, S., Sima, D.M., Veraart, J., Maes, F., Himmelreich, U., Achten, E., Van Huffel, S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5079350/
https://www.ncbi.nlm.nih.gov/pubmed/27812502
http://dx.doi.org/10.1016/j.nicl.2016.09.021

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5079350/
https://www.ncbi.nlm.nih.gov/pubmed/27812502
http://dx.doi.org/10.1016/j.nicl.2016.09.021

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