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