AI-based association analysis for medical imaging using latent-space geometric confounder correction.
Xianjing LiuBo LiMeike W. VernooijEppo B. WolviusGennady V. RoshchupkinEsther E. BronPublished in: CoRR (2023)
Keyphrases
- medical imaging
- association analysis
- latent space
- medical images
- latent variables
- x ray
- artificial intelligence
- association rule mining
- dimensionality reduction
- low dimensional
- gaussian process
- image analysis
- image registration
- image processing
- text mining
- computer vision
- generative model
- image segmentation
- parameter space
- shape analysis
- cluster analysis
- manifold learning
- high dimensional
- remote sensing
- transfer learning
- machine learning
- high dimensional data
- feature space
- retrieval strategies
- language model
- high resolution
- association rules
- natural language
- pattern recognition
- information retrieval
- data mining