Low-Dose Computed Tomography Image Super-Resolution Reconstruction via Random Forests.
Peijian GuChanghui JiangMin JiQiyang ZhangYongshuai GeDong LiangXin LiuYongfeng YangHairong ZhengZhanli HuPublished in: Sensors (2019)
Keyphrases
- computed tomography
- low dose
- super resolution reconstruction
- random forests
- computer tomography
- ct scans
- ct images
- medical images
- image reconstruction
- medical imaging
- contrast enhancement
- low resolution images
- super resolution
- high resolution
- ct data
- region of interest
- three dimensional
- low resolution
- x ray
- random forest
- image data
- multiscale
- lung nodules
- input image
- image classification
- image features
- image analysis
- logistic regression
- interpolation method
- decision trees
- image segmentation
- image enhancement
- machine learning
- gray level
- computer aided diagnosis
- face recognition
- reconstruction method
- segmentation algorithm
- imaging modalities
- feature points