Greedy framework for optical flow tracking of myocardium contours
ناشر:
سال
: 2014شناسه الکترونیک: 10.1049/iet-ipr.2012.0512
کلیدواژه(گان): biomedical MRI,cardiology,greedy algorithms,image segmentation,image sequences,medical image processing,muscle,optimisation,cardiac magnetic resonance imaging,cardiac medical images,contour segmentation,greedy optimisation algorithm,image sequences,motion invariance,myocardium contours,optical flow tracking,time sequences
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آمار بازدید
Greedy framework for optical flow tracking of myocardium contours
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| contributor author | Al-Agamy, Ahmed | |
| contributor author | Khalifa, Ahmed | |
| contributor author | Fahmy, Ahmed S. | |
| date accessioned | 2020-03-12T23:53:58Z | |
| date available | 2020-03-12T23:53:58Z | |
| date issued | 2014 | |
| identifier issn | 1751-9659 | |
| identifier other | 6777257.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1127322 | |
| format | general | |
| language | English | |
| publisher | IET | |
| title | Greedy framework for optical flow tracking of myocardium contours | |
| type | Journal Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8307265 | |
| subject keywords | biomedical MRI | |
| subject keywords | cardiology | |
| subject keywords | greedy algorithms | |
| subject keywords | image segmentation | |
| subject keywords | image sequences | |
| subject keywords | medical image processing | |
| subject keywords | muscle | |
| subject keywords | optimisation | |
| subject keywords | cardiac magnetic resonance imaging | |
| subject keywords | cardiac medical images | |
| subject keywords | contour segmentation | |
| subject keywords | greedy optimisation algorithm | |
| subject keywords | image sequences | |
| subject keywords | motion invariance | |
| subject keywords | myocardium contours | |
| subject keywords | optical flow tracking | |
| subject keywords | time sequences | |
| identifier doi | 10.1049/iet-ipr.2012.0512 | |
| journal title | Image Processing, IET | |
| journal volume | 8 | |
| journal issue | 4 | |
| filesize | 523132 | |
| citations | 0 |