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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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| Publicado no: | J Med Imaging (Bellingham) |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Society of Photo-Optical Instrumentation Engineers
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8080060/ https://ncbi.nlm.nih.gov/pubmed/33937439 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.8.2.025002 |
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