Patient-Specific Finetuning of Deep Learning Models for Adaptive Radiotherapy in Prostate CT.
Mohamed S. ElmahdyTanuj AhujaUulke A. van der HeideMarius StaringPublished in: CoRR (2020)
Keyphrases
- patient specific
- learning models
- respiratory motion
- ct data
- prostate cancer
- radiation therapy
- transrectal ultrasound
- loss function
- treatment planning
- machine learning
- blood flow
- automatic segmentation
- learning algorithm
- learning tasks
- semi supervised learning
- learning problems
- cardiac ct
- target registration error
- machine learning algorithms
- ct images
- computed tomography
- conditional random fields
- classification models
- image reconstruction
- deformable registration
- medical images
- computer aided
- ct scans
- image registration
- pairwise
- support vector
- image guided
- x ray
- supervised learning