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March 3, 2026
Open Access
Retracted:Deep learning for real-time semantic segmentation:Application in ultrasound imaging Pattern Recognition Letters 144 (2021) 27–34
AO
A. (Abdeldjalil) Ouahabi
AA
A. (Abdelmalik) Tahleb Ahmed
Key Points
Real-time semantic segmentation can significantly improve ultrasound imaging quality and analysis accuracy.
Deep learning techniques enhanced the ability to segment images quickly and effectively, achieving high performance metrics.
Analysis involved using advanced image analysis algorithms to process ultrasound data efficiently.
Highlights the need for further validation in clinical settings to ensure reliability in diverse scenarios.
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Ouahabi et al. (Thu,) studied this question.
synapsesocial.com/papers/69a766cbbadf0bb9e87de769
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Retracted:Deep learning for real-time semantic segmentation:Application in ultrasound imaging Pattern Recognition Letters 144 (2021) 27–34 | Synapse