An Architecture and a New Deep Learning Method for Head and Neck Cancer Prognosis by Analyzing Serial Positron Emission Tomography Images

Matemáticas

• Positron Emission Tomography 100%
• Prognosis 90%
• Architecture 71%
• Cancer 67%
• Learning 59%
• Tumor 27%
• Feature Extraction 19%
• Prognostic Factors 19%
• Quality Measures 18%
• Oncology 18%
• Dimensionality Reduction 16%
• Recurrent Neural Networks 16%
• Surrogate 15%
• Modality 15%
• Preparation 14%
• Imaging 14%
• Medicine 14%
• Biology 12%
• Neural Networks 12%
• Optimization 9%
• Standards 7%

Ingeniería y ciencia de los materiales

• Positron emission tomography 90%
• Deep learning 58%
• Tumors 44%
• Nuclear medicine 33%
• Oncology 29%
• Dimensionality reduction 23%
• Recurrent neural networks 22%
• Convolutional neural networks 19%
• Feature extraction 16%
• Imaging techniques 16%