Optimizing a machine learning based glioma grading system using multi-parametric MRI histogram and texture features.

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Optimizing a machine learning based glioma grading system using multi-parametric MRI histogram and texture features.

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2017 nî lūn-bûn

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2017年の論文

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2017年論文

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2017年論文

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2017年論文

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2017年論文

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2017年論文

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Optimizing a machine learning ...... istogram and texture features.

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Optimizing a machine learning ...... istogram and texture features.

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Optimizing a machine learning ...... istogram and texture features.

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P1476

Optimizing a machine learning ...... istogram and texture features.

@en

P2093

Bin-Quan Hu

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Gang Li

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Guang-Bin Cui

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Le-De Liu

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Lin-Feng Yan

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Qiang Tian

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Wen Wang

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Xin Zhang

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Yang Yang

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Ying-Zhi Sun

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P2860

Deep learning

Dynamic Contrast-Enhanced Perfusion MRI and Diffusion-Weighted Imaging in Grading of Gliomas

Gliomas: Histogram analysis of apparent diffusion coefficient maps with standard- or high-b-value diffusion-weighted MR imaging--correlation with tumor grade.

Voxel-based clustered imaging by multiparameter diffusion tensor images for glioma grading.

Glioma: application of whole-tumor texture analysis of diffusion-weighted imaging for the evaluation of tumor heterogeneity.

Intravoxel incoherent motion diffusion-weighted MR imaging of gliomas: efficacy in preoperative grading

Investigating machine learning techniques for MRI-based classification of brain neoplasms.

Glioma grading by microvascular permeability parameters derived from dynamic contrast-enhanced MRI and intratumoral susceptibility signal on susceptibility weighted imaging.

Machine Learning methods for Quantitative Radiomic Biomarkers.

Correlation of volume transfer coefficient Ktrans with histopathologic grades of gliomas

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47816-47830

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scholarly article

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10.18632/ONCOTARGET.18001

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English

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P478

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P577

2017-05-18T00:00:00Z

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P698

28599282

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P921

histogram

machine learning

P932

5564607

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