Weakly Supervised Liver Tumor Segmentation Using Couinaud Segment Annotation

Engineering

• Experimental Result 100%
• State-of-the-Art Method 100%
• Deep Learning Method 100%
• Level Image 100%
• Deep Neural Network 100%
• Learning Approach 100%
• Medical Image Segmentation 100%
• Great Importance 100%
• Pixel Level 100%
• Radiologist 100%

Keyphrases

• Unsupervised Learning 100%
• Liver Tumor Segmentation 100%
• Couinaud Segments 100%
• Tumor 66%
• Fully-supervised 33%
• Image Segmentation 16%
• State-of-the-art Techniques 16%
• Liver 16%
• Competitive Performance 16%
• Two-component 16%
• Inpainting 16%
• Liver Cancer 16%
• Synthetic Strategies 16%
• Deep Learning Methods 16%
• Pixel Level 16%
• Radiologists 16%
• Deep Neural Network 16%
• Cancer-related 16%
• Medical Image Segmentation 16%
• Segmentation Model 16%
• Liver Cancer Treatment 16%
• Segmentation Dataset 16%
• Treatment Planning 16%
• Tumor Region 16%
• Annotation Effort 16%
• Convolutional Networks 16%
• Pseudotumor 16%
• Pixel-wise Supervision 16%
• Tumor Segmentation 16%
• Image-level Label 16%
• Liver Cancer Diagnosis 16%
• Histopathological Images 16%

Computer Science

• Annotation 100%
• Tumor Segmentation 100%
• Image Segmentation 28%
• Experimental Result 14%
• Deep Learning Method 14%
• Learning Approach 14%
• Deep Neural Network 14%
• Segmentation Model 14%
• Convolutional Network 14%