Myocardium Segmentation
3 papers with code • 1 benchmarks • 0 datasets
Latest papers with no code
A multi-level convolutional LSTM model for the segmentation of left ventricle myocardium in infarcted porcine cine MR images
Automatic segmentation of left ventricle (LV) myocardium in cardiac short-axis cine MR images acquired on subjects with myocardial infarction is a challenging task, mainly because of the various types of image inhomogeneity caused by the infarctions.
Improving Myocardium Segmentation in Cardiac CT Angiography using Spectral Information
We propose augmentation of the training data with virtual mono-energetic reconstructions from a spectral CT scanner which show different attenuation levels of the contrast agent.
Left Ventricle Segmentation and Quantification from Cardiac Cine MR Images via Multi-task Learning
Segmentation of the left ventricle and quantification of various cardiac contractile functions is crucial for the timely diagnosis and treatment of cardiovascular diseases.
Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis
To identify patients with a functionally significant coronary artery stenosis, analysis is performed in several stages.
Multivariate mixture model for myocardium segmentation combining multi-source images
The segmentation is a procedure of texture classification, and the MvMM is used to model the joint intensity distribution of the images.
