Automated major psoas muscle volumetry in computed tomography using machine learning algorithms.
Felix DuongMichael GadermayrDorit MerhofChristiane KuhlPhilipp BrunersSven H. LoosenChristoph RoderburgDaniel TruhnMaximilian F. Schulze-HagenPublished in: Int. J. Comput. Assist. Radiol. Surg. (2022)
Keyphrases
- machine learning algorithms
- computed tomography
- ct images
- medical images
- ct scans
- image reconstruction
- medical imaging
- benchmark data sets
- three dimensional
- machine learning
- machine learning methods
- learning algorithm
- decision trees
- computed tomography scans
- ct data
- machine learning approaches
- learning problems
- random forests
- learning models
- machine learning models
- cone beam ct
- cone beam
- x ray
- standard machine learning algorithms
- motion artifacts
- data sets
- fracture detection
- coronary artery disease
- medical image processing
- image registration
- computer assisted
- fully automatic
- magnetic resonance imaging
- fully automated
- magnetic resonance
- image processing
- region of interest