Automated segmentation and quantification of aortic calcification at abdominal CT: application of a deep learning-based algorithm to a longitudinal screening cohort.
Objective: To investigate an automated aortic calcium segmentation and scoring tool at abdominal CT in an adult screening cohort. Methods: Using instance segmentation with convolutional neural networks (Mask R-CNN), a fully automated vascular calcification algorithm was applied to a data set of 9914...
| Publicado en: | Abdominal Radiology Vol. 44; no. 8; pp. 2921 - 2929 |
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| Autores principales: | , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Aug2019
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| Acceso en línea: | Ver este registro en EBSCOhost |