A generative probabilistic model and discriminative extensions for brain lesion segmentation – with application to tumor and stroke

We introduce a generative probabilistic model for segmentation of brain lesions in multi-dimensional images that generalizes the EM segmenter, a common approach for modelling brain images using Gaussian mixtures and a probabilistic tissue atlas that employs expectation-maximization (EM) to estimate...

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Detalles Bibliográficos
Publicado en:IEEE Trans Med Imaging
Main Authors: Menze, Bjoern H., Van Leemput, Koen, Lashkari, Danial, Riklin-Raviv, Tammy, Geremia, Ezequiel, Alberts, Esther, Gruber, Philipp, Wegener, Susanne, Weber, Marc-André, Székely, Gabor, Ayache, Nicholas, Golland, Polina
Formato: Artigo
Idioma:Inglês
Publicado: 2015
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Article
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC4854961/
https://ncbi.nlm.nih.gov/pubmed/26599702
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2015.2502596
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