2015a machine vision toolbox Search Results


90
MathWorks Inc matlab 2015a
Matlab 2015a, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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96
MathWorks Inc conventional mri features
Relevant radiogenomic studies predicting IDH mutational status.
Conventional Mri Features, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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90
MathWorks Inc statistics machine learning toolbox 2015a
Relevant radiogenomic studies predicting IDH mutational status.
Statistics Machine Learning Toolbox 2015a, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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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