Prediction of lung CT scores of systemic sclerosis by cascaded regression neural networks.
Jingnan JiaMarius StaringIrene Hernández-GirónLucia J. M. KroftAnne A. SchouffoerBerend C. StoelPublished in: Medical Imaging: Computer-Aided Diagnosis (2022)
Keyphrases
- neural network
- ct images
- computed tomography
- ct scans
- prediction model
- artificial neural networks to predict
- prediction accuracy
- regression model
- radial basis function network
- medical images
- lung parenchyma
- ct data
- pattern recognition
- three dimensional
- predictive clustering trees
- neural network ensemble
- linear regression
- regression analysis
- medical imaging
- linear regression model
- computer tomography
- artificial neural networks
- model selection
- back propagation
- prediction error
- x ray
- fuzzy logic
- conformal prediction
- neural networks and support vector machines
- multiple linear regression
- multislice
- pulmonary nodules
- image reconstruction
- multi layer perceptron
- survival analysis
- target registration error
- lung cancer
- support vector
- image analysis
- neural network model