Automatic segmentation of left ventricle cavity from short-axis cardiac magnetic resonance images.
In this paper, a computational framework is proposed to perform a fully automatic segmentation of the left ventricle (LV) cavity from short-axis cardiac magnetic resonance (CMR) images. In the initial phase, the region of interest (ROI) is automatically identified on the first image frame of the CMR...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 55; no. 9; pp. 1563 - 1578 |
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| Autores principales: | , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Sep2017
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| Acceso en línea: | Ver este registro en EBSCOhost |