Cargando…
Deep learning cardiac motion analysis for human survival prediction
Motion analysis is used in computer vision to understand the behaviour of moving objects in sequences of images. Optimising the interpretation of dynamic biological systems requires accurate and precise motion tracking as well as efficient representations of high-dimensional motion trajectories so t...
Autores principales: | Bello, Ghalib A., Dawes, Timothy J.W., Duan, Jinming, Biffi, Carlo, de Marvao, Antonio, Howard, Luke S. G. E., Gibbs, J. Simon R., Wilkins, Martin R., Cook, Stuart A., Rueckert, Daniel, O’Regan, Declan P. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6382062/ https://www.ncbi.nlm.nih.gov/pubmed/30801055 http://dx.doi.org/10.1038/s42256-019-0019-2 |
Ejemplares similares
-
Automatic 3D bi-ventricular segmentation of cardiac images by a shape-refined multi-task deep learning approach
por: Duan, Jinming, et al.
Publicado: (2019) -
Precursors of Hypertensive Heart Phenotype Develop in Healthy Adults: A High-Resolution 3D MRI Study
por: de Marvao, Antonio, et al.
Publicado: (2015) -
Machine Learning of Three-dimensional Right Ventricular Motion Enables Outcome Prediction in Pulmonary Hypertension: A Cardiac MR Imaging Study
por: Dawes, Timothy J. W., et al.
Publicado: (2017) -
Metabolic pathways associated with right ventricular adaptation to pulmonary hypertension: 3D analysis of cardiac magnetic resonance imaging
por: Attard, Mark I, et al.
Publicado: (2019) -
Adverse changes in left ventricular structure begin at normotensive systolic blood pressures: a high resolution MRI study
por: de Marvao, Antonio, et al.
Publicado: (2015)