Variational Formulation of Unsupervised Deep Learning for Ultrasound Image Artifact Removal
Recently, deep learning approaches have been successfully used for ultrasound (US) image artifact removal. However, paired high-quality images for supervised training are difficult to obtain in many practical situations. Inspired by the recent theory of unsupervised learning using optimal transport...
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Détails bibliographiques
| Publié dans: | IEEE transactions on ultrasonics, ferroelectrics, and frequency control. - 1986. - 68(2021), 6 vom: 01. Juni, Seite 2086-2100
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| Auteur principal: |
Khan, Shujaat
(Auteur) |
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| Autres auteurs: |
Huh, Jaeyoung,
Ye, Jong Chul |
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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, Non-U.S. Gov't |
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