Automated Left Atrial Segmentation from Magnetic Resonance Image Sequences Using Deep Convolutional Neural Network with Autoencoder.
Shrimanti GhoshNilanjan RayPierre BoulangerKumaradevan PunithakumarMichelle NogaPublished in: ISBI (2020)
Keyphrases
- magnetic resonance
- cardiac magnetic resonance
- medical images
- mr images
- convolutional neural network
- mr brain
- image sequences
- mr brain images
- image slices
- partial volume
- brain tumors
- accurate segmentation
- mr imaging
- image volumes
- image data
- phase contrast
- tissue segmentation
- contrast enhanced
- image registration
- brain images
- brain mr images
- soft tissue
- partial volume effects
- automated segmentation
- brain image segmentation
- anatomical structures
- magnetic resonance images
- intensity inhomogeneity
- face detection
- positron emission tomography
- medical imaging
- grey matter
- automated analysis
- motion analysis
- motion estimation
- deformable models
- computer vision
- prostate segmentation
- level set
- three dimensional
- pet images
- image segmentation
- magnetic resonance imaging
- multiple sclerosis
- fully automatic
- ct images
- segmentation method
- optical flow
- fully automated
- neural network
- gray matter
- segmentation algorithm
- brain mri
- region growing
- moving objects
- face recognition
- prostate cancer