Ultrasound Domain Adaptation Using Frequency Domain Analysis

@article{Sharifzadeh2021UltrasoundDA,
  title={Ultrasound Domain Adaptation Using Frequency Domain Analysis},
  author={M. Sharifzadeh and Ali Kafaei Zad Tehrani and Habib Benali and Hassan Rivaz},
  journal={2021 IEEE International Ultrasonics Symposium (IUS)},
  year={2021},
  pages={1-4}
}
A common issue in exploiting simulated ultrasound data for training neural networks is the domain shift problem, where the trained models on synthetic data are not generalizable to clinical data. Recently, Fourier Domain Adaptation (FDA) has been proposed in the field of computer vision to tackle the domain shift problem by replacing the magnitude of the low-frequency spectrum of a synthetic sample (source) with a real sample (target). This method is attractive in ultrasound imaging given that… Expand

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