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. In this article, we utilize this particular property of deep neural networks (DNNs) to estimate normalized cross correlation as a function of spatial lag (i.e., spatial c...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on ultrasonics, ferroelectrics, and frequency control. - 1986. - 67(2020), 12 vom: 07. Dez., Seite 2574-2583
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| 1. Verfasser: |
Wiacek, Alycen
(VerfasserIn) |
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| Weitere Verfasser: |
Gonzalez, Eduardo,
Bell, Muyinatu A Lediju |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2020
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on ultrasonics, ferroelectrics, and frequency control
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| Schlagworte: | Journal Article
Research Support, N.I.H., Extramural |
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