A hierarchical stochastic modelling approach for reconstructing lung tumour geometry from 2D CT images.
Parnian AfsharAbbas AhmadiAzadeh MohebiM. H. Fazel ZarandiPublished in: J. Exp. Theor. Artif. Intell. (2018)
Keyphrases
- ct data
- medical images
- stochastic optimization
- three dimensional
- monte carlo
- hierarchical structure
- lung cancer
- image processing
- hidden markov models
- ct images
- geometric structure
- calibrated images
- cancer diagnosis
- geometric constraints
- ct scans
- hierarchical model
- patient specific
- computer vision
- reinforcement learning
- computed tomography images
- euclidean geometry