A Review on Deep-Learning Algorithms for Fetal Ultrasound-Image Analysis. (arXiv:2201.12260v1 [eess.IV])

Web: http://arxiv.org/abs/2201.12260

Deep-learning (DL) algorithms are becoming the standard for processing
ultrasound (US) fetal images. Despite a large number of survey papers already
present in this field, most of them are focusing on a broader area of
medical-image analysis or not covering all fetal US DL applications. This paper
surveys the most recent work in the field, with a total of 145 research papers
published after 2017. Each paper is analyzed and commented on from both the
methodology and application perspective. We …

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