Deep learning approach for automatic out-of-plane needle localisation for semi-automatic ultrasound probe calibration

The authors present a deep learning algorithm for the automatic centroid localisation of out-of-plane US needle reflections to produce a semi-automatic ultrasound (US) probe calibration algorithm. A convolutional neural network was trained on a dataset of 3825 images at a 6 cm imaging depth to predi...

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Vydáno v:Healthc Technol Lett
Hlavní autoři: Groves, Leah A., VanBerlo, Blake, Peters, Terry M., Chen, Elvis C.S.
Médium: Artigo
Jazyk:Inglês
Vydáno: The Institution of Engineering and Technology 2019
Témata:
Special Issue: Papers from the 13th Workshop on Augmented Environments for Computer Assisted Interventions
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC6952243/
https://ncbi.nlm.nih.gov/pubmed/32038858
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1049/htl.2019.0075
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