Quantitative Comparison of Deep Learning-Based Image Reconstruction Methods for Low-Dose and Sparse-Angle CT Applications.
Johannes LeuschnerMaximilian SchmidtPoulami Somanya GangulyVladyslav AndriiashenSophia Bethany CobanAlexander DenkerDominik BauerAmir HadjifaradjiKees Joost BatenburgPeter MaassMaureen van EijnattenPublished in: J. Imaging (2021)
Keyphrases
- low dose
- deep learning
- computer tomography
- dual energy
- contrast enhancement
- x ray
- image data
- image features
- image analysis
- ct scans
- input image
- multiscale
- medical images
- image segmentation
- ct images
- computed tomography
- lung nodules
- region of interest
- x ray images
- machine learning
- edge detection
- high resolution
- data mining
- segmentation method
- segmentation algorithm
- markov random field