Abdominal CT pancreas segmentation using multi-scale convolution with aggregated transformations

Keyphrases

• Abdominal Computed Tomography 100%
• Aggregated Transformations 100%
• Cardinality 10%
• Channel Independent 10%
• Computed Tomography Images 10%
• Convolutional Neural Network 30%
• Convolutional Neural Network Architecture 10%
• Implementation Results 10%
• Inter-subject Variation 10%
• Local Receptive Field 10%
• Low Computational Complexity 10%
• Medical Image Segmentation 10%
• Multi-scale Convolution 100%
• Multiple Convolution 10%
• Neural Network Segmentation 10%
• Organ Shape 10%
• Organ Size 10%
• Pancreas Segmentation 100%
• Popular 10%
• Receptive Field 10%
• Residual Convolution 100%
• Segmentation Performance 10%
• U-Net 10%

Computer Science

• Cardinality 25%
• Computational Complexity 25%
• Convolutional Neural Network 100%
• Image Segmentation 25%
• Multiple Convolution 25%
• Network Segmentation 25%
• Neural Network Architecture 25%
• Receptive Field 50%
• Segmentation Performance 25%
• U-Net 25%

Mathematics

• Cardinality 5%
• Convolution 100%
• Convolutional Neural Network 22%
• Receptive Field 11%
• Residuals 55%