A Computational Framework based on Medical Imaging and Random Sampling to Guide Optimal Residual Limb Designs for Individuals with Transfemoral Limb Loss.
Joshua D. ChildressNicholas P. FeyPublished in: EMBC (2021)
Keyphrases
- medical imaging
- computational framework
- random sampling
- medical images
- x ray
- active learning
- medical image processing
- image analysis
- image registration
- computational model
- medical image analysis
- sample size
- imaging modalities
- anatomical structures
- shape analysis
- image segmentation
- magnetic resonance images
- ct images
- computed tomography
- sampling algorithm
- image processing and analysis
- remote sensing
- magnetic resonance imaging
- biomedical imaging
- image guided
- computer vision and image processing
- sampling procedure
- volumetric data
- sampling methods
- biomedical engineering
- image processing
- clinical practice
- computer vision
- image guided surgery
- worst case
- three dimensional
- signal and image processing
- optimal solution
- objective function
- random sample
- shape grammars
- random samples
- data mining
- neural network