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CohereNet: A Deep Learning Architecture for Ultrasound Spatial Correlation Estimation and Coherence-Based Beamforming
Deep fully connected networks are often considered “universal approximators” that are capable of learning any function. Inthisarticle, we utilize this particular property of deep neural networks (DNNs) to estimate normalized cross correlation as a function of spatial lag (i.e., spatial coherence fun...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8034551/ https://www.ncbi.nlm.nih.gov/pubmed/32203018 http://dx.doi.org/10.1109/TUFFC.2020.2982848 |