A 3-D Riesz-Covariance Texture Model for Prediction of Nodule Recurrence in Lung CT.
Pol CirujedaYashin Dicente CidHenning MüllerDaniel L. RubinTodd A. AguileraBilly W. LooMaximilian DiehnXavier BinefaAdrien DepeursingePublished in: IEEE Trans. Medical Imaging (2016)
Keyphrases
- computed tomography
- ct images
- texture model
- pulmonary nodules
- ct scans
- lung cancer
- medical images
- lung nodules
- image reconstruction
- medical imaging
- computer aided
- texture segmentation
- texture synthesis
- texture information
- low dose
- computer aided diagnosis
- unsupervised segmentation
- shape model
- markov random field
- three dimensional
- autoregressive
- random fields
- textured images
- ground glass opacity
- x ray
- hidden markov models
- multiresolution
- image analysis
- multiscale