Quantifying uncertainty in machine learning classifiers for medical imaging.
John ValenIndranil BalkiMauro MendezWendi QuJacob LevmanAlexander BilbilyPascal N. TyrrellPublished in: Int. J. Comput. Assist. Radiol. Surg. (2022)
Keyphrases
- medical imaging
- machine learning
- machine learning algorithms
- machine learning methods
- medical images
- decision trees
- machine learning approaches
- x ray
- medical image processing
- computer vision
- computed tomography
- medical image analysis
- image registration
- magnetic resonance images
- ct images
- shape analysis
- feature selection
- image processing and analysis
- image processing
- anatomical structures
- image guided
- imaging modalities
- image segmentation
- image analysis
- clinical practice
- image guided surgery
- surface registration
- computer aided diagnosis
- biomedical engineering
- pattern recognition
- support vector
- volumetric data
- remote sensing
- support vector machine
- magnetic resonance imaging
- computational intelligence
- data mining
- learning algorithm
- artificial intelligence
- medical image segmentation
- brain structures
- text classification