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GLISTRboost: Combining Multimodal MRI Segmentation, Registration, and Biophysical Tumor Growth Modeling with Gradient Boosting Machines for Glioma Segmentation
We present an approach for segmenting low- and high-grade gliomas in multimodal magnetic resonance imaging volumes. The proposed approach is based on a hybrid generative-discriminative model. Firstly, a generative approach based on an Expectation-Maximization framework that incorporates a glioma gro...
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| izdano v: | Brainlesion |
|---|---|
| Main Authors: | , , , , , , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
2016
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| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5513179/ https://ncbi.nlm.nih.gov/pubmed/28725877 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-319-30858-6_1 |
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