Automated fiducial marker detection and localization in volumetric computed tomography images: a three-step hybrid approach with deep learning

Purpose: Automating fiducial detection and localization in the patient’s pre-operative images can lead to better registration accuracy, reduced human errors, and shorter intervention time. Most current approaches are optimized for a single marker type, mainly spherical adhesive markers. A fully auto...

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Detalles Bibliográficos
Autores principales: Regodić, Milovan, Bardosi, Zoltan, Freysinger, Wolfgang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2021
Materias:
Image-Guided Procedures, Robotic Interventions, and Modeling
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8080060/
https://www.ncbi.nlm.nih.gov/pubmed/33937439
http://dx.doi.org/10.1117/1.JMI.8.2.025002

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8080060/
https://www.ncbi.nlm.nih.gov/pubmed/33937439
http://dx.doi.org/10.1117/1.JMI.8.2.025002

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