Automated detection of IVC filters on radiographs with deep convolutional neural networks.
Purpose: To create an algorithm able to accurately detect IVC filters on radiographs without human assistance, capable of being used to screen radiographs to identify patients needing IVC filter retrieval. Methods: A primary dataset of 5225 images, 30% of which included IVC filters, was assembled an...
| Publicado en: | Abdominal Radiology Vol. 48; no. 2; pp. 758 - 765 |
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| Autores principales: | , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Feb2023
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| Acceso en línea: | Ver este registro en EBSCOhost |