Synthetic Lung Ultrasound Data Generation Using Autoencoder with Generative Adversarial Network
Class imbalance is a significant challenge in medical image analysis, particularly in lung ultrasound (LUS), where severe patterns are often underrepresented. Traditional oversampling techniques, which simply duplicate original data, have limited effectiveness in addressing this issue. To overcome t...
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Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on ultrasonics, ferroelectrics, and frequency control. - 1986. - PP(2025) vom: 27. März
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| 1. Verfasser: |
Fatima, Noreen
(VerfasserIn) |
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| Weitere Verfasser: |
Mento, Federico,
Afrakhteh, Sajjad,
Perrone, Tiziano,
Smargiassi, Andrea,
Inchingolo, Riccardo,
Demi, Libertario |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2025
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on ultrasonics, ferroelectrics, and frequency control
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| Schlagworte: | Journal Article |
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