Convolutional Neural Network-Based Speckle Tracking for Ultrasound Strain Elastography : An Unsupervised Learning Approach
Accurate and computationally efficient motion estimation is a critical component of real-time ultrasound strain elastography (USE). With the advent of deep-learning neural network models, a growing body of work has explored supervised convolutional neural network (CNN)-based optical flow in the fram...
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Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on ultrasonics, ferroelectrics, and frequency control. - 1986. - 70(2023), 5 vom: 13. Mai, Seite 354-367
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| 1. Verfasser: |
Wen, Shuojie
(VerfasserIn) |
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| Weitere Verfasser: |
Peng, Bo,
Wei, Xingyue,
Luo, Jianwen,
Jiang, Jingfeng |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2023
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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, Non-U.S. Gov't |
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