An Automated Approach Based on a Convolutional Neural Network for Left Atrium Segmentation From Late Gadolinium Enhanced Magnetic Resonance Imaging.
Davide BorraClaudio FabbriAlessandro MasciLorena EspositoAlice AndalòCristiana CorsiPublished in: CinC (2019)
Keyphrases
- magnetic resonance imaging
- medical images
- convolutional neural network
- mri images
- medical imaging
- left atrium
- mri data
- model based segmentation
- contrast enhanced
- magnetic resonance images
- carotid artery
- computer tomography
- image segmentation
- anatomical structures
- segmentation algorithm
- segmentation method
- fully automatic
- magnetic resonance
- deformable models
- imaging modalities
- volumetric data
- level set
- computer aided diagnosis
- medical image analysis
- mr images
- ct images
- brain tumors
- face detection
- image processing
- image analysis
- accurate segmentation
- brain images
- region growing
- active contours
- x ray
- image registration