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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Dettagli Bibliografici
Pubblicato in:Neuroimage Clin
Autori principali: Sauwen, N., Acou, M., Van Cauter, S., Sima, D.M., Veraart, J., Maes, F., Himmelreich, U., Achten, E., Van Huffel, S.
Natura: Artigo
Lingua:Inglês
Pubblicazione: Elsevier 2016
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Regular Article
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC5079350/
https://ncbi.nlm.nih.gov/pubmed/27812502
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.nicl.2016.09.021
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