Speckle2Speckle: Unsupervised Learning of Ultrasound Speckle Filtering Without Clean Data. (arXiv:2208.00402v1 [eess.IV])

In ultrasound imaging the appearance of homogeneous regions of tissue is
subject to speckle, which for certain applications can make the detection of
tissue irregularities difficult. To cope with this, it is common practice to
apply speckle reduction filters to the images. Most conventional filtering
techniques are fairly hand-crafted and often need to be finely tuned to the
present hardware, imaging scheme and application. Learning based techniques on
the other hand suffer from the need for a target image for …

arxiv clean data data filtering learning unsupervised unsupervised learning