A combined deep-learning approach to fully automatic left ventricle segmentation in cardiac magnetic resonance imaging.
Ramon Alfredo MorenoMarina F. S. de Sá RebeloTalles CarvalhoAntonildes N. AssunçãoRoberto N. DantasRenata do ValAngela S. MarinAdriano BordignomCesar H. NomuraMarco A. GutierrezPublished in: Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2019)
Keyphrases
- fully automatic
- deep learning
- mri data
- magnetic resonance imaging
- left ventricle
- long axis
- left ventricular
- beating heart
- semi automatic
- tagged mri
- fully automated
- medical images
- short axis
- unsupervised learning
- mri images
- magnetic resonance images
- single photon emission computed tomography
- medical imaging
- low contrast
- machine learning
- weakly supervised
- patient specific
- mental models
- video sequences
- deformable models
- image processing