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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Institution of Engineering and Technology
2019
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| Materias: | |
| 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 |