Deep learning for ultrasound image formation is rapidly garnering research support and attention, quickly rising as the latest frontier in ultrasound image formation, with much promise to balance both image quality and display speed. Despite this promise, one challenge with identifying optimal solut...
Détails bibliographiques
| Publié dans: | IEEE transactions on ultrasonics, ferroelectrics, and frequency control. - 1986. - 68(2021), 12 vom: 03. Dez., Seite 3466-3483
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| Auteur principal: |
Hyun, Dongwoon
(Auteur) |
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| Autres auteurs: |
Wiacek, Alycen,
Goudarzi, Sobhan,
Rothlubbers, Sven,
Asif, Amir,
Eickel, Klaus,
Eldar, Yonina C,
Huang, Jiaqi,
Mischi, Massimo,
Rivaz, Hassan,
Sinden, David,
van Sloun, Ruud J G,
Strohm, Hannah,
Bell, Muyinatu A Lediju |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2021
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| Accès à la collection: | IEEE transactions on ultrasonics, ferroelectrics, and frequency control
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| Sujets: | Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't |
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