A Deep Convolutional Neural Network Approach for the Segmentation of Cardiac Structures from MRI Sequences.
Adam CarscaddenMichelle NogaKumaradevan PunithakumarPublished in: M&Ms and EMIDEC/STACOM@MICCAI (2020)
Keyphrases
- convolutional neural network
- intra subject
- brain scans
- brain structures
- magnetic resonance images
- medical images
- cardiac mri
- mr imaging
- brain mri
- long axis
- medical imaging
- mri images
- segmentation algorithm
- automatic segmentation
- mr images
- myocardial infarction
- magnetic resonance imaging
- tagged mri
- image analysis
- left ventricle
- mri data
- face detection
- brain tumors
- image segmentation
- human brain
- healthy volunteers
- magnetic resonance
- medical image analysis
- level set
- blood pool
- carotid artery
- phase contrast
- partial volume
- tissue segmentation
- brain tissue
- inter subject
- accurate segmentation
- computer vision
- intensity distribution
- anatomical structures
- fully automatic
- computer tomography
- contrast enhanced
- bias field
- subject specific
- imaging modalities
- white matter
- object recognition
- brain tumor segmentation