Pulmonary CT Registration Through Supervised Learning With Convolutional Neural Networks.
Koen A. J. EppenhofJosien P. W. PluimPublished in: IEEE Trans. Medical Imaging (2019)
Keyphrases
- convolutional neural networks
- thoracic ct images
- ct scans
- supervised learning
- registration process
- pulmonary nodules
- rigid registration
- registration accuracy
- computed tomography
- ct images
- deformable registration
- convolutional network
- x ray
- mri brain
- computer tomography
- ct data
- computer aided
- image registration
- intensity based registration
- ct and mr images
- medical imaging
- target registration error
- clinical applications
- learning algorithm
- lung parenchyma
- unsupervised learning
- computer aided diagnosis
- training data
- semi supervised
- medical images
- contrast enhanced
- machine learning
- brain mri
- automatic segmentation
- accurate registration
- active learning
- training set
- inter patient
- reinforcement learning
- magnetic resonance images
- image volumes
- lung cancer
- medical image registration
- image analysis
- image segmentation
- feature extraction
- lumbar spine
- image reconstruction