Vesal et al., 2019 - Google Patents
Automated multi-sequence cardiac MRI segmentation using supervised domain adaptationVesal et al., 2019
View PDF- Document ID
- 18091221793011729759
- Author
- Vesal S
- Ravikumar N
- Maier A
- Publication year
- Publication venue
- International workshop on statistical atlases and computational models of the heart
External Links
Snippet
Left ventricle segmentation and morphological assessment are essential for improving diagnosis and our understanding of cardiomyopathy, which in turn is imperative for reducing risk of myocardial infarctions in patients. Convolutional neural network (CNN) based …
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- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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- G06T2207/30048—Heart; Cardiac
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- G06T2207/10088—Magnetic resonance imaging [MRI]
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- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
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