3D Deep Learning for Anatomical Structure Segmentation in Multiple Imaging Modalities.
Barbara VillariniHykoush AsaturyanSila KurugolOnur AfacanJimmy D. BellE. Louise ThomasPublished in: CBMS (2021)
Keyphrases
- imaging modalities
- medical images
- anatomical structures
- deep learning
- medical imaging
- medical image analysis
- clinical applications
- mr images
- magnetic resonance imaging
- positron emission tomography
- medical data
- magnetic resonance images
- image segmentation
- low contrast
- region of interest
- deformable models
- unsupervised learning
- image registration
- fully automatic
- shape analysis
- magnetic resonance
- intraoperative
- image analysis
- level set
- clinical trials
- shape prior
- x ray
- energy function
- image processing
- mental models
- machine learning
- supervised learning
- multiple objects
- weakly supervised
- pattern recognition
- multiscale
- segmentation method
- computer vision