An active contour method based on regularized kernel fuzzy c-means clustering

Keyphrases

• Level Set Evolution 100%
• Active Contour Method 100%
• Kernel Clustering 100%
• Accuracy Index 66%
• Sensitivity Specificity 66%
• Jaccard Index 66%
• Sensitivity Index 66%
• Complex Image 66%
• Dice Index 66%
• Adaptive Force 66%
• Specificity Score 66%
• Index Accuracy 66%
• Statistical Analysis 33%
• Image Data 33%
• Local Minima 33%
• Arts-based Methods 33%
• Intensity-based 33%
• Cluster-based 33%
• Real Image 33%
• Reinitialization 33%
• Mean Intensity 33%
• Region Information 33%
• Level-set 33%
• Active Contour Model 33%
• Global Forces 33%
• Inhomogeneous Image Segmentation 33%
• Forcing Term 33%
• Level Set Function 33%
• Contour Initialization 33%
• Besides to 33%
• Gaussian Function 33%
• Hybrid Level Set 33%
• BraTS Dataset 33%
• Local Fitting 33%
• Local Forces 33%
• Proposed Strategy 33%
• Set Evolution 33%

Engineering

• Level Set 100%
• Active Contour 100%
• Contour Method 100%
• Metrics 25%
• Real Image 25%
• Complex Image 25%
• Level Set Function 25%
• Gaussian Function 25%
• Regularization 25%
• Local Minimum 25%

Computer Science

• Active Contour Methods 100%
• fuzzy c mean 100%
• Local Minimum 50%
• Image Segmentation 50%
• Active Contour Model 50%
• Regularization 50%
• Level Set Function 50%