A novel solution of using deep learning for prostate cancer segmentation: enhanced batch normalization

Keyphrases

• Magnetic Resonance Imaging 100%
• Deep Learning 100%
• Batch Normalization 100%
• Prostate Cancer Segmentation 100%
• Novel Solutions 100%
• Prostate 75%
• Prostate Surgery 75%
• Segmentation Accuracy 50%
• Accurate Segmentation 50%
• Prostate Segmentation 50%
• Overall Accuracy 25%
• Glands 25%
• Performance Improvement 25%
• Processing Time 25%
• Segmentation Method 25%
• Accuracy Improvement 25%
• Magnetic Resonance 25%
• Disease Diagnosis 25%
• Systems Focus 25%
• Propagation Method 25%
• Disease-specific 25%
• Low-level Features 25%
• Deep Neural Network 25%
• Total Execution Time 25%
• Segmentation Performance 25%
• Shape Boundary 25%
• Shape Recognition 25%
• Nerve Sparing 25%
• Multi-level Features 25%
• Dice Similarity Coefficient 25%
• Prostate Disease 25%
• Surrounding Tissues 25%
• Prostate Localization 25%

Computer Science

• Deep Learning Method 100%
• Batch Normalization 100%
• segmentation accuracy 100%
• Segmentation Process 50%
• Total Execution Time 50%
• Segmentation Performance 50%
• Processing Time 50%
• Extracted Feature 50%
• Surrounding Tissue 50%
• Shape Recognition 50%
• Deep Neural Network 50%

Engineering

• Level Feature 100%
• Deep Learning Method 100%
• Similarities 50%
• Surrounding Tissue 50%
• Extracted Feature 50%
• Shape Recognition 50%
• Shape Boundary 50%
• Execution Time 50%
• Processing Time 50%
• Deep Neural Network 50%