AEDCN-Net: Accurate and Efficient Deep Convolutional Neural Network Model for Medical Image Segmentation

Engineering

• Convolutional Neural Network 100%
• Network Model 100%
• Medical Image Segmentation 100%
• Deep Learning 66%
• Floating Point 66%
• Point Operation 66%
• State-of-the-Art Method 66%
• Medical Image 33%
• Obtains 33%
• Illustrates 33%
• Metrics 33%
• Nearest Neighbor 33%
• Critical Field 33%
• Real Life 33%
• Receptive Field 33%
• Computational Time 33%

Computer Science

• Image Segmentation 100%
• Neural Network Model 100%
• Deep Convolutional Neural Networks 100%
• Floating-Point Operation 66%
• Deep Learning 33%
• Deep Learning 33%
• Speed-up 33%
• Evaluation Metric 33%
• Superior Performance 33%
• Preprocessing Step 33%
• Benchmarking 33%
• Segmentation Model 33%
• Model Architecture 33%
• Convolution Operation 33%
• Upsampling Method 33%
• Receptive Field 33%
• Art Performance 33%
• Fast Convergence 33%
• Computational Time 33%