Robust and semantic needle detection in 3D ultrasound using orthogonal-plane convolutional neural networks

PURPOSE: During needle interventions, successful automated detection of the needle immediately after insertion is necessary to allow the physician identify and correct any misalignment of the needle and the target at early stages, which reduces needle passes and improves health outcomes. METHODS: We...

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Detalles Bibliográficos
Autores principales: Pourtaherian, Arash, Ghazvinian Zanjani, Farhad, Zinger, Svitlana, Mihajlovic, Nenad, Ng, Gary C., Korsten, Hendrikus H. M., de With, Peter H. N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2018
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6132402/
https://www.ncbi.nlm.nih.gov/pubmed/29855770
http://dx.doi.org/10.1007/s11548-018-1798-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6132402/
https://www.ncbi.nlm.nih.gov/pubmed/29855770
http://dx.doi.org/10.1007/s11548-018-1798-3

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