Motion-corrected coronary calcium scores by a convolutional neural network: a robotic simulating study.
Objective: To classify motion-induced blurred images of calcified coronary plaques so as to correct coronary calcium scores on nontriggered chest CT, using a deep convolutional neural network (CNN) trained by images of motion artifacts.Methods: Three artificial coronary arteries containing nine calc...
| Publicado en: | European Radiology Vol. 30; no. 2; pp. 1285 - 1295 |
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| Autores principales: | , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Feb2020
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| Acceso en línea: | Ver este registro en EBSCOhost |