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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Detalles Bibliográficos
Autores principales: Groves, Leah A., VanBerlo, Blake, Peters, Terry M., Chen, Elvis C.S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Institution of Engineering and Technology 2019
Materias:
Special Issue: Papers from the 13th Workshop on Augmented Environments for Computer Assisted Interventions
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6952243/
https://www.ncbi.nlm.nih.gov/pubmed/32038858
http://dx.doi.org/10.1049/htl.2019.0075

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6952243/
https://www.ncbi.nlm.nih.gov/pubmed/32038858
http://dx.doi.org/10.1049/htl.2019.0075

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