Can computed tomography classifications of chronic obstructive pulmonary disease be identified using Bayesian networks and clinical data?
Lars Pilegaard ThomsenUlla M. WeinreichDan S. KarbingVanja G. Helbo JensenMorten VuustJens B. FrøkjærStephen Edward ReesPublished in: Comput. Methods Programs Biomed. (2013)
Keyphrases
- clinical data
- computed tomography
- ct images
- chronic obstructive pulmonary disease
- medical images
- medical data
- cone beam
- ct scans
- medical imaging
- patient data
- ct data
- statistical analysis
- image reconstruction
- computed tomography scans
- three dimensional
- clinical information
- computer tomography
- mr images
- clinical data sets
- raw data
- knowledge discovery
- region of interest
- treatment planning
- lymph nodes
- domain experts
- imaging modalities
- medical diagnosis
- image registration
- medical knowledge
- pulmonary nodules
- computer vision
- pattern recognition
- prostate cancer
- domain specific
- magnetic resonance imaging