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

01/28/2022
by   Maria Chiara Fiorentino, et al.
0

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.

READ FULL TEXT

page 2

page 4

page 5

page 17

page 20

page 23

research
02/17/2022

An overview of deep learning in medical imaging

Machine learning (ML) has seen enormous consideration during the most re...
research
02/10/2022

Deep Learning for Computational Cytology: A Survey

Computational cytology is a critical, rapid-developing, yet challenging ...
research
09/13/2018

GANs for Medical Image Analysis

Generative Adversarial Networks (GANs) and their extensions have carved ...
research
06/28/2022

Reinforcement Learning in Medical Image Analysis: Concepts, Applications, Challenges, and Future Directions

Motivation: Medical image analysis involves tasks to assist physicians i...
research
12/20/2018

Computational Anatomy for Multi-Organ Analysis in Medical Imaging: A Review

The medical image analysis field has traditionally been focused on the d...
research
04/27/2020

A scoping review of transfer learning research on medical image analysis using ImageNet

Objective: Employing transfer learning (TL) with convolutional neural ne...
research
04/12/2021

Common Limitations of Image Processing Metrics: A Picture Story

While the importance of automatic image analysis is increasing at an eno...

Please sign up or login with your details

Forgot password? Click here to reset