Multimodal Context-Aware Detection of Glioma Biomarkers Using MRI and WSI

Keyphrases

• Fusion Model 100%
• Multimodal Context 100%
• Context Detection 100%
• Classification Methods 66%
• Eosin 66%
• Hematoxylin 66%
• Biomarker Classification 66%
• Glioma Biomarkers 66%
• Region of Interest 33%
• Classification Model 33%
• Convolutional Neural Network 33%
• Feature Vector 33%
• Image Features 33%
• Brain Magnetic Resonance Imaging 33%
• Magnetic Resonance Imaging 33%
• Histopathological Examination 33%
• Malignancy 33%
• Area under the Curve 33%
• Concatenated 33%
• Fusion Strategy 33%
• Multilayer Perceptron 33%
• Morphological Characteristics 33%
• Two-branch 33%
• Malignant Tumor 33%
• Slide Image 33%
• Whole Slide Image 33%
• Cascade Model 33%
• Late Fusion 33%
• Multiparametric MRI (mpMRI) 33%
• Cancer Genome Atlas 33%
• Mutation Status 33%
• Isocitrate Dehydrogenase 1 (IDH1) 33%
• Molecular Markers 33%
• Pathology Department 33%
• Molecular Assessment 33%
• Multiple Biomarkers 33%
• Central Nervous System Tumors 33%
• Glioma Subtypes 33%
• Codeletion 33%
• Subtype Classification 33%
• Imaging Exams 33%
• Multi-class Problem 33%
• Manual Screening 33%
• Multimodal Model 33%
• Publicly Available Data 33%
• Context Information Fusion 33%
• Precise Diagnosis 33%
• Output Features 33%
• Adult-type Diffuse Gliomas 33%

Biochemistry, Genetics and Molecular Biology

• Magnetism 100%
• Eosin 66%
• Genetic Marker 33%
• Subtyping 33%
• IDH1 33%
• Morphology 33%
• Perceptron 33%