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...

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Detalles Bibliográficos
Autores principales: Gherardini, Marta, Mazomenos, Evangelos, Menciassi, Arianna, Stoyanov, Danail
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Scientific Publishers 2020
Materias:
Article
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

Internet

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

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