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High frame-averaging ameliorates low-fluence LED-based photoacoustic imaging by compromising real-time imaging capability. Our generalized and noise-robust U-net framework achieves high signal-to-noise-ratio and contrast-to-noise-ratio in real-time for in-vivo subcutaneous tumor models, outperforming standard noise reduction algorithms.
© 2022 The Author(s)
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