Quality Quantification in Deep Convolutional Neural Networks for Skin Lesion Segmentation using Fuzzy Uncertainty Measurement

Keyphrases

• Deep Convolutional Neural Network (deep CNN) 100%
• Measurement Uncertainty 100%
• Skin Lesion Segmentation 100%
• Fuzzy Uncertainty 100%
• Quality Quantification 100%
• Fuzzy Sets 66%
• Segmentation Quality 66%
• Strong Correlation 33%
• Image Segmentation 33%
• Image Level 33%
• Uncertainty Measure 33%
• Neural Network Method 33%
• Dice Coefficient 33%
• Pearson Correlation Coefficient 33%
• Test Time Augmentation 33%
• Segmentation Uncertainty 33%
• Measure of Fuzziness 33%
• Skin Lesion Datasets 33%
• Uncertainty Metrics 33%
• Semantic Image Segmentation 33%

Computer Science

• Deep Convolutional Neural Networks 100%
• Lesion Segmentation 100%
• Image Segmentation 66%
• Fuzzy sets 66%
• Neural Network Model 33%
• Pearson Correlation Coefficient 33%
• Semantic Image 33%
• Level Uncertainty 33%

Engineering

• Convolutional Neural Network 100%
• Measurement Uncertainty 100%
• Segmentation Quality 66%
• Level Image 33%
• Network Model 33%
• Pearsons Linear Correlation Coefficient 33%
• Metrics 33%
• Fuzziness 33%
• Test Time 33%