• Corpus ID: 245877357

De-Noising of Photoacoustic Microscopy Images by Deep Learning

@article{He2022DeNoisingOP,
  title={De-Noising of Photoacoustic Microscopy Images by Deep Learning},
  author={Da He and Jiasheng Zhou and Xiaoyu Shang and Jiajia Luo and Sung-Liang Chen},
  journal={ArXiv},
  year={2022},
  volume={abs/2201.04302}
}
As a hybrid imaging technology, photoacoustic microscopy (PAM) imaging suffers from noise due to the maximum permissible exposure of laser intensity, attenuation of ultrasound in the tissue, and the inherent noise of the transducer. De-noising is a post-processing method to reduce noise, and PAM image quality can be recovered. However, previous de-noising techniques usually heavily rely on mathematical priors as well as manually selected parameters, resulting in unsatisfactory and slow de… 

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