Superpixel-based Context Restoration for Self-supervised Pancreas Segmentation from CT scans

Keyphrases

• Computed Tomography 100%
• Superpixel-based 100%
• Context Preservation 100%
• Pancreas Segmentation 100%
• Segmentation Problem 66%
• Self-supervised Learning 66%
• Pancreas 66%
• Deep Learning 33%
• Corrupt 33%
• Learning Stages 33%
• Automatic Segmentation 33%
• Initialize 33%
• Pancreatic Cancer 33%
• Data Scarcity 33%
• Supervised Learning 33%
• Deep Learning Model 33%
• Patch-based 33%
• CT Images 33%
• Image Features 33%
• Unsupervised Pre-training 33%
• Computational Imaging 33%
• Intensity Value 33%
• Annotated Dataset 33%
• Network Weight 33%
• Medical Image Analysis 33%
• Pancreas CT 33%
• CT Dataset 33%
• Pancreatic Diseases 33%
• Training Stages 33%
• Pre-training Tasks 33%
• Superpixel 33%
• Restoration Approach 33%

Computer Science

• Superpixel 100%
• Segmentation Task 66%
• Self-Supervised Learning 66%
• Automatic Segmentation 33%
• Supervised Learning 33%
• Deep Learning Model 33%
• segmented image 33%
• Image Analysis 33%
• Intensity Value 33%
• image feature 33%
• Deep Learning Method 33%