Spatially Dependent U-Nets: Highly Accurate Architectures for Medical Imaging Segmentation.
João B. S. CarvalhoJoão A. SantinhaDjordje MiladinovicJoachim M. BuhmannPublished in: CoRR (2021)
Keyphrases
- medical imaging
- highly accurate
- medical images
- image segmentation
- brain mr images
- x ray
- anatomical structures
- image registration
- ct images
- computed tomography
- medical image processing
- image analysis
- medical image analysis
- magnetic resonance imaging
- capable of producing
- image processing
- imaging modalities
- accurate models
- image processing and analysis
- computer aided diagnosis
- brain structures
- magnetic resonance images
- image guided
- medical image segmentation
- shape analysis
- computer vision
- volumetric data
- computer vision and image processing
- high accuracy
- clinical practice
- high quality
- image guided surgery
- neural network
- level set
- biomedical engineering
- mri scans
- brain mri
- mri data
- region growing
- segmentation algorithm
- remote sensing
- medical diagnosis
- surface registration
- biomedical imaging
- numerical methods
- mri brain