End-to-End Model-based Deep Learning for Dual-Energy Computed Tomography Material Decomposition.
Jiandong WangAlessandro PerelliPublished in: CoRR (2024)
Keyphrases
- end to end
- deep learning
- computed tomography
- dual energy
- low dose
- ct images
- medical imaging
- medical images
- ct scans
- image reconstruction
- x ray
- three dimensional
- unsupervised learning
- ct data
- machine learning
- lung nodules
- imaging modalities
- computer tomography
- anatomical structures
- x ray images
- computer aided diagnosis
- image processing
- medical diagnosis
- data mining
- region of interest
- image segmentation