Classification of solitary pulmonary nodules (SPNs) imaged on high-resolution CT using contrast enhancement and three-dimensional quantitative image features.
Nathaniel WyckoffMichael F. McNitt-GrayJonathan G. GoldinRobert D. SuhJames W. SayreDenise R. AberlePublished in: Medical Imaging: Image Processing (2000)
Keyphrases
- pulmonary nodules
- thoracic ct images
- computer aided detection
- contrast enhancement
- ct images
- computed tomography
- three dimensional
- computer aided
- ct scans
- high resolution
- lung nodules
- low dose
- image features
- differential diagnosis
- computer aided diagnosis
- x ray
- lung cancer
- image enhancement
- image classification
- histogram equalization
- computer tomography
- medical imaging
- medical domain
- gray level
- medical image processing
- medical images
- pattern recognition
- image reconstruction
- image processing
- color images
- feature vectors
- receiver operating characteristic
- roc curve
- ct data
- super resolution
- image analysis
- multiscale
- feature extraction
- machine learning
- region of interest
- visual quality
- range images
- lung parenchyma