Image Segmentation Techniques (Q167453): Difference between revisions

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description / endescription / en
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
Analyzing images to separate and identify distinct features or objects.

Revision as of 13:43, 30 August 2024

Analyzing images to separate and identify distinct features or objects.
  • Image Segmentation
  • Medical Image Analysis
  • Graph Cuts
  • Active Contours
  • MRI Segmentation
  • Deformable Image Registration
  • Level Set Methods
  • Statistical Shape Models
  • Texture Analysis
Language Label Description Also known as
English
Image Segmentation Techniques
Analyzing images to separate and identify distinct features or objects.
  • Image Segmentation
  • Medical Image Analysis
  • Graph Cuts
  • Active Contours
  • MRI Segmentation
  • Deformable Image Registration
  • Level Set Methods
  • Statistical Shape Models
  • Texture Analysis

Statements

uses
deep learning
0 references
 
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