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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
Publicado en:Int J Comput Assist Radiol Surg
Main Authors: Pourtaherian, Arash, Ghazvinian Zanjani, Farhad, Zinger, Svitlana, Mihajlovic, Nenad, Ng, Gary C., Korsten, Hendrikus H. M., de With, Peter H. N.
Formato: Artigo
Idioma:Inglês
Publicado: Springer International Publishing 2018
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Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC6132402/
https://ncbi.nlm.nih.gov/pubmed/29855770
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11548-018-1798-3
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