학술논문
Particle Swarm Optimization in 3D Medical Image Registration: A Systematic Review
Document Type
Working Paper
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Abstract
Medical image registration seeks to find an optimal spatial transformation that best aligns the underlying anatomical structures. These problems usually require the optimization of a similarity metric. Swarm Intelligence techniques are very effective and efficient optimization methods. This systematic review focuses on 3D medical image registration using Particle Swarm Optimization