Medical Image Segmentation Techniques

Medical Image Segmentation Techniques is a research topic within Computer Vision and Pattern Recognition. Science Explorer counts 43k research works in it since 1950. 9.9% of them reached the world's top 10% most cited for their field and year.

This cluster of papers covers advances in image segmentation techniques, particularly focusing on medical image analysis, graph cuts, active contours, MRI segmentation, deformable image registration, level set methods, statistical shape models, deep learning, and texture analysis.

• Image Segmentation
• Medical Image Analysis
• Graph Cuts
• Active Contours
• MRI Segmentation
• Deformable Image Registration
• Level Set Methods
• Statistical Shape Models
• Deep Learning
• Texture Analysis