3D U-Net Based Semantic Segmentation of Kidneys and Renal Masses on Contrast-Enhanced CT.
Mingyang ZangArtur WysoczanskiElsa D. AngeliniAndrew F. LainePublished in: KiTS@MICCAI (2021)
Keyphrases
- contrast enhanced
- semantic segmentation
- contrast agent
- computed tomography
- ct data
- mr images
- magnetic resonance
- conditional random fields
- ct images
- medical images
- intraoperative
- superpixels
- mri data
- medical imaging
- ct scans
- image reconstruction
- computer aided diagnosis
- contrast enhancement
- deformation field
- automatic segmentation
- heart disease
- fully automatic
- nonrigid registration
- manual segmentation
- carotid artery
- image data
- object categories
- pre operative
- object classes
- segmentation algorithm
- three dimensional
- x ray
- magnetic resonance images
- medical data
- dce mri
- higher order
- clinical applications
- magnetic resonance imaging
- image features
- ground truth
- image registration
- computer vision
- object detection
- accurate registration
- color images