3D texture analysis of heterogeneous MRI data for diagnostic classification of childhood brain tumours

Keyphrases

• Childhood Brain Tumors 100%
• Magnetic Resonance Imaging Data 100%
• Diagnostic Classification 100%
• 3D Texture Analysis 100%
• Ependymoma 66%
• Medulloblastoma 66%
• Pilocytic Astrocytoma 66%
• Statistical Methods 33%
• First-order 33%
• Leave-one-out 33%
• Different Manufacturers 33%
• Textural Features 33%
• Human Vision 33%
• Feature-based 33%
• Magnetic Resonance Imaging 33%
• T2-weighted Magnetic Resonance Imaging 33%
• Higher-order Statistics 33%
• Magnetic Field Strength 33%
• Solid Tumors 33%
• Texture Analysis 33%
• Support Vector Machine Classifier 33%
• Brain Tumor 33%
• T1-weighted Imaging 33%
• Distribution Intensity 33%
• Multicenter Research 33%
• Cross-validation Method 33%
• Radiologists 33%
• Magnetic Resonance Imaging Image 33%
• Pixel Distribution 33%
• Posterior Fossa Tumor 33%
• All Cancer 33%
• Conventional Magnetic Resonance Imaging 33%

Neuroscience

• Intracranial Tumor 100%
• Magnetic Resonance Imaging 100%
• Ependymoma 50%
• Medulloblastoma 50%
• Pilocytic Astrocytoma 50%
• Support Vector Machine 25%
• T2 Contrast 25%
• T1 Contrast 25%
• Posterior Cranial Fossa 25%

Pharmacology, Toxicology and Pharmaceutical Science

• Intracranial Tumor 100%
• Medulloblastoma 66%
• Ependymoma 66%
• Pilocytic Astrocytoma 66%
• Solid Malignant Neoplasm 33%
• Cross-Validation 33%
• Posterior Cranial Fossa Tumor 33%