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Catheter segmentation in X-ray fluoroscopy using synthetic data and transfer learning with light U-nets
Background and objectivesAutomated segmentation and tracking of surgical instruments and catheters under X-ray fluoroscopy hold the potential for enhanced image guidance in catheter-based endovascular procedures. This article presents a novel method for real-time segmentation of catheters and guidew...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier Scientific Publishers
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7903142/ https://www.ncbi.nlm.nih.gov/pubmed/32171151 http://dx.doi.org/10.1016/j.cmpb.2020.105420 |