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Engineering
Deep Learning Method
100%
Deep Neural Network
100%
Experimental Result
100%
Great Importance
100%
Learning Approach
100%
Level Image
100%
Medical Image Segmentation
100%
Pixel Level
100%
Radiologist
100%
State-of-the-Art Method
100%
Keyphrases
Annotation Effort
16%
Cancer-related
16%
Competitive Performance
16%
Convolutional Networks
16%
Couinaud Segments
100%
Deep Learning Methods
16%
Deep Neural Network
16%
Fully-supervised
33%
Histopathological Images
16%
Image Segmentation
16%
Image-level Label
16%
Inpainting
16%
Liver
16%
Liver Cancer
16%
Liver Cancer Diagnosis
16%
Liver Cancer Treatment
16%
Liver Tumor Segmentation
100%
Medical Image Segmentation
16%
Pixel Level
16%
Pixel-wise Supervision
16%
Pseudotumor
16%
Radiologists
16%
Segmentation Dataset
16%
Segmentation Model
16%
State-of-the-art Techniques
16%
Synthetic Strategies
16%
Treatment Planning
16%
Tumor
66%
Tumor Region
16%
Tumor Segmentation
16%
Two-component
16%
Unsupervised Learning
100%
Computer Science
Annotation
100%
Cancer Diagnosis
14%
Convolutional Network
14%
Deep Learning Method
14%
Deep Neural Network
14%
Experimental Result
14%
Image Segmentation
28%
Learning Approach
14%
Segmentation Model
14%
Tumor Segmentation
100%