Efficacy evaluation of interventional therapy for primary liver cancer using magnetic resonance imaging and CT scanning under deep learning and treatment of vasovagal reflex.
Chunfeng ZhengLei ChenJihua JianJuan LiZhonghui GaoPublished in: J. Supercomput. (2021)
Keyphrases
- magnetic resonance imaging
- deep learning
- medical imaging
- medical images
- ct images
- ct data
- mri images
- radiation dose
- magnetic resonance images
- disease progression
- beating heart
- mri data
- computed tomography
- x ray
- computer tomography
- ct scans
- image guided
- unsupervised learning
- image registration
- clinical applications
- imaging modalities
- lymph nodes
- medical image analysis
- computer vision
- image processing
- patient specific
- radiation therapy
- prostate cancer
- mental models
- contrast enhanced
- image analysis
- machine learning
- weakly supervised
- medical data
- normal tissue
- partial volume effects
- image segmentation
- computer aided diagnosis
- intraoperative
- three dimensional
- feature selection
- positron emission tomography
- pre operative
- pattern recognition
- magnetic resonance
- supervised learning
- minimally invasive
- remote sensing
- mr images
- deformable models
- lung cancer