Computer-aided prognosis: Predicting patient and disease outcome via multi-modal image analysis

Keyphrases

• Patient Outcomes 100%
• Disease Outcome 100%
• Prognosis Predicting 100%
• Computer-aided Prognosis 100%
• Multimodal Image Analysis 100%
• Protein Expression 66%
• Biopsy Specimen 66%
• Computational Imaging 66%
• Computational Bioinformatics 66%
• Data Fusion Algorithm 66%
• High Risk 33%
• Triple-negative Breast Cancer 33%
• Breast Cancer 33%
• Prostate Cancer 33%
• Low Risk 33%
• Mass Spectrometry 33%
• Core Needle Biopsy 33%
• Lymphocyte Infiltration 33%
• Multimodality 33%
• Outcome Prediction 33%
• Computer-assisted Image Analysis 33%
• Disease Risk 33%
• Prognostic Information 33%
• Patient Survival 33%
• Patient-centered 33%
• Recurrent Disease 33%
• Prognostic Marker 33%
• Image-based 33%
• Risk Score 33%
• Prostate Cancer Patients 33%
• Dynamic Contrast-enhanced Magnetic Resonance Imaging (DCE-MRI) 33%
• Computer Algorithm 33%
• Image Analysis 33%
• Microscopic Analysis 33%
• Computer-aided Diagnosis (CADx) 33%
• ER+ Breast Cancer 33%
• HER2+ 33%
• Cancer Grade 33%
• Gleason Grading 33%
• Predicting Diseases 33%
• Digital Pathology 33%
• Graph Embedding 33%
• Breast Cancer Biopsy 33%
• Being Known 33%
• Multiple Data Modalities 33%
• Multiple Data Sources 33%
• Rutgers University 33%
• High-dimensional Image 33%
• Nonlinear Dimensionality Reduction 33%
• Multimodal Data Fusion 33%
• High-dimensional Data Analysis 33%
• Quantitative Image Features 33%

Medicine and Dentistry

• Disease 100%
• Image Analysis 100%
• Prostate Cancer 50%
• Protein Expression 50%
• Breast Cancer 50%
• Histopathology 50%
• Magnetic Resonance Imaging 25%
• Tumor Biopsy 25%
• Gleason Score 25%
• Needle Biopsy 25%
• Recurrent Disease 25%
• Mass Spectrum 25%
• Triple Negative Breast Cancer 25%
• Dynamic Contrast-Enhanced MRI 25%
• Cancer Grading 25%
• Lymphocytic Infiltration 25%
• Computer-Aided Diagnosis 25%
• Digital Pathology 25%
• HER2-Positive Breast Cancer 25%