A Review on Deep-Learning Algorithms for Fetal Ultrasound-Image Analysis

• URL: http://arxiv.org/abs/2201.12260v1
• Date: Fri, 28 Jan 2022 17:22:44 GMT
• Title: A Review on Deep-Learning Algorithms for Fetal Ultrasound-Image Analysis
• Authors: Maria Chiara Fiorentino and Francesca Pia Villani and Mariachiara Di Cosmo and Emanuele Frontoni and Sara Moccia
• Abstract summary: This paper surveys the most recent work in the field, with a total of 145 research papers published after 2017. We categorized the papers in (i) fetal standard-plane detection, (ii) anatomical-structure analysis, and (iii) biometry parameter estimation. This paper ends with a critical summary of the current state of the art on DL algorithms for fetal US image analysis.
• Score: 5.512295869673148
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: 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 categorized the papers in (i) fetal standard-plane detection, (ii) anatomical-structure analysis, and (iii) biometry parameter estimation. For each category, main limitations and open issues are presented. Summary tables are included to facilitate the comparison among the different approaches. Publicly-available datasets and performance metrics commonly used to assess algorithm performance are summarized, too. This paper ends with a critical summary of the current state of the art on DL algorithms for fetal US image analysis and a discussion on current challenges that have to be tackled by researchers working in the field to translate the research methodology into the actual clinical practice.

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