Displacement Estimation in Ultrasound Elastography Using Pyramidal Convolutional Neural Network
In this article, two novel deep learning methods are proposed for displacement estimation in ultrasound elastography (USE). Although convolutional neural networks (CNNs) have been very successful for displacement estimation in computer vision, they have been rarely used for USE. One of the main limi...
Publié dans: | IEEE transactions on ultrasonics, ferroelectrics, and frequency control. - 1986. - 67(2020), 12 vom: 10. Dez., Seite 2629-2639 |
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Format: | Article en ligne |
Langue: | English |
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2020
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Accès à la collection: | IEEE transactions on ultrasonics, ferroelectrics, and frequency control |
Sujets: | Journal Article Research Support, Non-U.S. Gov't |
Accès en ligne |
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