Deep-Learning Driven Noise Reduction for Reduced Flux Computed Tomography.
Khalid L. AlsamadonyErtugrul U. YildirimGuenther GlatzUmair bin WaheedSherif M. HanafyPublished in: CoRR (2021)
Keyphrases
- noise reduction
- deep learning
- computed tomography
- ct images
- medical images
- medical imaging
- image reconstruction
- ct scans
- signal to noise ratio
- three dimensional
- unsupervised learning
- edge detection
- noise level
- machine learning
- weakly supervised
- mental models
- x ray
- pairwise
- region of interest
- vector field
- noisy images
- image data
- image segmentation
- optical flow
- image processing