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Improving needle visibility in LED-based photoacoustic imaging using deep learning with semi-synthetic datasets
Photoacoustic imaging has shown great potential for guiding minimally invasive procedures by accurate identification of critical tissue targets and invasive medical devices (such as metallic needles). The use of light emitting diodes (LEDs) as the excitation light sources accelerates its clinical tr...
Autores principales: | Shi, Mengjie, Zhao, Tianrui, West, Simeon J., Desjardins, Adrien E., Vercauteren, Tom, Xia, Wenfeng |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9048160/ https://www.ncbi.nlm.nih.gov/pubmed/35495095 http://dx.doi.org/10.1016/j.pacs.2022.100351 |
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