Surrogate-free machine learning-based organ dose reconstruction for pediatric abdominal radiotherapy.
Marco VirgolinZiyuan WangBrian V. BalgobindIrma W. E. M. van DijkJan WiersmaPetra S. KroonGeert O. R. JanssensMarcel van HerkD. C. HodgsonL. Zadravec ZaletelC. R. N. RaschArjan BelPeter A. N. BosmanTanja AlderliestenPublished in: CoRR (2020)
Keyphrases
- machine learning
- radiation therapy
- radiation dose
- abdominal ct images
- machine learning algorithms
- machine learning methods
- decision trees
- organ motion
- small animal
- learning algorithm
- respiratory motion
- medical images
- image reconstruction
- deformable models
- three dimensional
- treatment plan
- lung cancer
- x ray
- information extraction
- fully automatic
- abdominal organs
- lung cancer patients
- natural language processing
- discrete tomography
- high resolution
- image registration
- knowledge discovery
- data mining
- organ segmentation
- ct imaging
- cone beam
- computer vision
- deformable registration
- ct images