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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Bibliografiset tiedot
Julkaisussa:Int J Comput Assist Radiol Surg
Päätekijät: Pourtaherian, Arash, Ghazvinian Zanjani, Farhad, Zinger, Svitlana, Mihajlovic, Nenad, Ng, Gary C., Korsten, Hendrikus H. M., de With, Peter H. N.
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Springer International Publishing 2018
Aiheet:
Original Article
Linkit: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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