Improving Automated Hemorrhage Detection in Sparse-view Computed Tomography via Deep Convolutional Neural Network based Artifact Reduction.
Johannes ThalhammerManuel SchultheissTina DorostiTobias LasserFranz PfeifferDaniela PfeifferFlorian SchaffPublished in: CoRR (2023)
Keyphrases
- ct images
- computed tomography
- ct scans
- medical images
- artifact reduction
- fracture detection
- medical imaging
- image reconstruction
- ct data
- neural network
- sparse coding
- compressed images
- three dimensional
- computed tomography scans
- lung nodules
- reconstructed image
- region of interest
- lymph nodes
- low resolution
- image patches
- sparse representation
- x ray
- computational complexity
- multiscale