Regularized CNN with Geodesic Active Contour and Edge Predictor for Image Segmentation

Keyphrases

• Image Segmentation 100%
• Convolutional Neural Network 100%
• Active Edge 100%
• Geodesic Active Contour 100%
• Soft Thresholding 40%
• Variational Problem 40%
• Iterative Convolution 40%
• Low Contrast 20%
• Segmentation Method 20%
• Main Idea 20%
• Noisy Image 20%
• Neural Network 20%
• Variational Methods 20%
• Generalization Performance 20%
• Function-based 20%
• Synthetic Images 20%
• MRI Images 20%
• Unconditionally Stable 20%
• Heaviside Function 20%
• CT Images 20%
• Synthetic MRI 20%
• Synthetic CT 20%
• Edge Indicator Function 20%

Computer Science

• Convolutional Neural Network 100%
• Image Segmentation 100%
• Geodesic Active Contour 100%
• Soft Thresholding 40%
• Convolution 40%
• Experimental Result 20%
• Generalization Performance 20%
• Segmentation Method 20%
• Interpretability 20%
• Indicator Function 20%
• Heaviside's Function 20%

Engineering

• Convolutional Neural Network 100%
• Geodesic Active Contour 100%
• Soft Thresholding 40%
• Segmentation Method 20%
• Target Object 20%
• Experimental Result 20%
• Main Idea 20%
• Noisy Image 20%
• Indicator Function 20%
• Heaviside's Function 20%
• Interpretability 20%