Radiomics in paediatric neuro-oncology: A multicentre study on MRI texture analysis

Keyphrases

• Support Vector Machine 100%
• Magnetic Resonance Imaging 100%
• Pediatric Brain Tumor 100%
• Radiomics 100%
• MRI Texture Analysis 100%
• Pediatric Neuro-oncology 100%
• Tumor 66%
• Pairwise Testing 66%
• Age Groups 33%
• Decision Support 33%
• Textural Features 33%
• Transferability 33%
• High-throughput 33%
• Cancer Causes 33%
• Feature Selection 33%
• Area under the Receiver Operating Characteristic Curve 33%
• Tumor Subtype 33%
• Routine Clinical Practice 33%
• Unseen 33%
• Cancer Mortality 33%
• Diagnostic Classification 33%
• Most Common Cause 33%
• Classification Framework 33%
• Texture Analysis 33%
• Brain Tumor 33%
• Supervised Classification 33%
• Non-invasive Diagnosis 33%
• Class Imbalance 33%
• Children with Cancer 33%
• Oncologic 33%
• Solid Cancer 33%
• 3D Texture Analysis 33%
• Tumor Characterization 33%
• Conventional MRI 33%
• Quantitative Image Features 33%

Medicine and Dentistry

• Neoplasm 100%
• Magnetic Resonance Imaging 100%
• Pediatrics 100%
• Radiomics 100%
• Neuro-Oncology 100%
• Pediatric Brain Tumor 75%
• Diagnosis 50%
• Feature Extraction 25%
• Intracranial Tumor 25%
• Cancer Mortality 25%
• Pediatric Cancer 25%

Pharmacology, Toxicology and Pharmaceutical Science

• Neoplasm 100%
• Intracranial Tumor 100%
• Cancer Mortality 25%