statistics and machine learning toolbox release 2015a Search Results


99
Sartorius AG incucyte tm software
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MathWorks Inc conventional mri features
Relevant radiogenomic studies predicting IDH mutational status.
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MathWorks Inc matlab environment
Relevant radiogenomic studies predicting IDH mutational status.
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Relevant radiogenomic studies predicting IDH mutational status.
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86
Ansary Labs 2015a
Relevant radiogenomic studies predicting IDH mutational status.
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Barrick Gold Corporation barrick gold, 2015a
Relevant radiogenomic studies predicting IDH mutational status.
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Gosford Primary gosford, r
Relevant radiogenomic studies predicting IDH mutational status.
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ChemieTek LLC mln7243
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Schmid GmbH additive manufacturing with selective laser sintering (sls)
Relevant radiogenomic studies predicting IDH mutational status.
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Styron Europe GmbH user’s manual
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Millar Inc millar 2015a
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IITC Life Science hargreaves' method
Relevant radiogenomic studies predicting IDH mutational status.
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Image Search Results


Relevant radiogenomic studies predicting IDH mutational status.

Journal: Biomedicines

Article Title: Beyond Imaging and Genetic Signature in Glioblastoma: Radiogenomic Holistic Approach in Neuro-Oncology

doi: 10.3390/biomedicines10123205

Figure Lengend Snippet: Relevant radiogenomic studies predicting IDH mutational status.

Article Snippet: Zhang et al., 2016 [ ] , Machine learning algorithm to generate a model predictive of IDH genotype based on the integration of clinical features and conventional MRI features (Statistics and Machine Learning Toolbox MATLAB 2015a) , Top features resulted were age and MRI parametric intensity, texture, and shape features , 120 , AUC 0.92.

Techniques: Mutagenesis, Imaging

MRI tumor phenotype in relation to IDH mutational status and MGMT methylation status assessed by radiomic studies.

Journal: Biomedicines

Article Title: Beyond Imaging and Genetic Signature in Glioblastoma: Radiogenomic Holistic Approach in Neuro-Oncology

doi: 10.3390/biomedicines10123205

Figure Lengend Snippet: MRI tumor phenotype in relation to IDH mutational status and MGMT methylation status assessed by radiomic studies.

Article Snippet: Zhang et al., 2016 [ ] , Machine learning algorithm to generate a model predictive of IDH genotype based on the integration of clinical features and conventional MRI features (Statistics and Machine Learning Toolbox MATLAB 2015a) , Top features resulted were age and MRI parametric intensity, texture, and shape features , 120 , AUC 0.92.

Techniques: Methylation