Ultrasound Deep Learning for Wall Segmentation and Near-Wall Blood Flow Measurement
Studies of medical flow imaging have technical limitations for accurate analysis of blood flow dynamics and vessel wall interaction at arteries. We propose a new deep learning-based boundary detection and compensation (DL-BDC) technique in ultrasound (US) imaging. It can segment vessel boundaries by...
| Publié dans: | IEEE transactions on ultrasonics, ferroelectrics, and frequency control. - 1986. - 67(2020), 10 vom: 21. Okt., Seite 2022-2032 |
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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 |
Volltext |