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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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| I publikationen: | IEEE Trans Med Imaging |
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| Huvudupphovsmän: | , , , , , , , , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
2015
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| Ämnen: | |
| Länkar: | 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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