Keyphrases
Medical Image Segmentation
100%
Segmentation-based
100%
Fuzzy Uncertainty
100%
Quality Control Algorithm
100%
Segmentation Quality
100%
Segmentation Model
66%
Image Level
66%
Fuzzy Sets
66%
Good Quality
33%
Strong Correlation
33%
Image Segmentation
33%
Deep Learning Methods
33%
Model Uncertainty
33%
Excellent Performance
33%
Poor Quality
33%
Breast
33%
Area under the Receiver Operating Characteristic Curve
33%
Lung
33%
Deep Learning Segmentation
33%
Deep Learning Applications
33%
Fuzziness
33%
Dice Coefficient
33%
Pearson Correlation Coefficient
33%
Uncertain Data
33%
Skin Lesions
33%
Model Inference
33%
Clinical Setting
33%
Group Areas
33%
Monte Carlo Dropout
33%
Inference Process
33%
Quality Control Method
33%
Skin Cells
33%
Distance Transform Algorithm
33%
Quality Groups
33%
Euclidean Distance Transform
33%
Test Time Augmentation
33%
Segmentation Uncertainty
33%
Engineering
Control Algorithm
100%
Medical Image Segmentation
100%
Quality Control
100%
Segmentation Quality
100%
Deep Learning
66%
Level Image
66%
Experimental Result
33%
Model Uncertainty
33%
Poor Quality
33%
Pearsons Linear Correlation Coefficient
33%
Fuzziness
33%
Test Time
33%
Operating Curve
33%
Inference Process
33%
Euclidean Distance Transform
33%