Impact of deep learning on the normalization of reconstruction kernel effects in imaging biomarker quantification: a pilot study in CT emphysema.
Hyeong-min JinChangyong HeoJong Hyo KimPublished in: Medical Imaging: Computer-Aided Diagnosis (2018)
Keyphrases
- pilot study
- deep learning
- ct scans
- cone beam
- computed tomography
- x ray
- medical imaging
- ct images
- epistemological beliefs
- image reconstruction
- high resolution
- filtered back projection
- three dimensional
- fan beam
- unsupervised learning
- motion artifacts
- unsupervised feature learning
- multislice
- medical images
- cardiac ct
- machine learning
- mental models
- computer games
- image processing
- ground glass opacity
- clinical applications
- lung cancer
- weakly supervised
- positron emission tomography
- treatment planning
- computer vision
- imaging modalities
- computer aided diagnosis
- lung disease
- region of interest