A review on deep-learning algorithms for fetal ultrasound-image analysis
Deep-learning (DL) algorithms are becoming the standard for processing ultrasound (US)
fetal images. A number of survey papers in the field is today available, but most of them are …
fetal images. A number of survey papers in the field is today available, but most of them are …
Artificial intelligence in obstetric ultrasound: A scoping review
R Horgan, L Nehme, A Abuhamad - Prenatal Diagnosis, 2023 - Wiley Online Library
The objective is to summarize the current use of artificial intelligence (AI) in obstetric
ultrasound. PubMed, Cochrane Library, and ClinicalTrials. gov databases were searched …
ultrasound. PubMed, Cochrane Library, and ClinicalTrials. gov databases were searched …
Evaluating the performance of StyleGAN2-ADA on medical images
Although generative adversarial networks (GANs) have shown promise in medical imaging,
they have four main limitations that impede their utility: computational cost, data …
they have four main limitations that impede their utility: computational cost, data …
[HTML][HTML] Deep learning and Gaussian Mixture Modelling clustering mix. A new approach for fetal morphology view plane differentiation
S Belciug, DG Iliescu - Journal of Biomedical Informatics, 2023 - Elsevier
The last three years have been a game changer in the way medicine is practiced. The
COVID-19 pandemic changed the obstetrics and gynecology scenery. Pregnancy …
COVID-19 pandemic changed the obstetrics and gynecology scenery. Pregnancy …
Transfer learning for accurate fetal organ classification from ultrasound images: a potential tool for maternal healthcare providers
H Ghabri, MS Alqahtani, S Ben Othman… - Scientific Reports, 2023 - nature.com
Ultrasound imaging is commonly used to aid in fetal development. It has the advantage of
being real-time, low-cost, non-invasive, and easy to use. However, fetal organ detection is a …
being real-time, low-cost, non-invasive, and easy to use. However, fetal organ detection is a …
PSFHSP-Net: an efficient lightweight network for identifying pubic symphysis-fetal head standard plane from intrapartum ultrasound images
R Qiu, M Zhou, J Bai, Y Lu, H Wang - Medical & Biological Engineering & …, 2024 - Springer
The accurate selection of the ultrasound plane for the fetal head and pubic symphysis is
critical for precisely measuring the angle of progression. The traditional method depends …
critical for precisely measuring the angle of progression. The traditional method depends …
Generalisability of fetal ultrasound deep learning models to low-resource imaging settings in five African countries
C Sendra-Balcells, VM Campello, J Torrents-Barrena… - Scientific reports, 2023 - nature.com
Most artificial intelligence (AI) research and innovations have concentrated in high-income
countries, where imaging data, IT infrastructures and clinical expertise are plentiful …
countries, where imaging data, IT infrastructures and clinical expertise are plentiful …
Approaches and Limitations of Machine Learning for Synthetic Ultrasound Generation: A Scoping Review
M Mendez, S Sundararaman, L Probyn… - Journal of Ultrasound …, 2023 - Wiley Online Library
This scoping review examines the emerging field of synthetic ultrasound generation using
machine learning (ML) models in radiology. Nineteen studies were analyzed, revealing …
machine learning (ML) models in radiology. Nineteen studies were analyzed, revealing …
Virtual Scenarios of Earthquake Early Warning to Disaster Management in Smart Cities Based on Auxiliary Classifier Generative Adversarial Networks
JK Ahn, B Kim, B Ku, EH Hwang - Sensors, 2023 - mdpi.com
Effective response strategies to earthquake disasters are crucial for disaster management in
smart cities. However, in regions where earthquakes do not occur frequently, model …
smart cities. However, in regions where earthquakes do not occur frequently, model …
Towards realistic ultrasound fetal brain imaging synthesis
M Iskandar, H Mannering, Z Sun, J Matthew… - arXiv preprint arXiv …, 2023 - arxiv.org
Prenatal ultrasound imaging is the first-choice modality to assess fetal health. Medical image
datasets for AI and ML methods must be diverse (ie diagnoses, diseases, pathologies …
datasets for AI and ML methods must be diverse (ie diagnoses, diseases, pathologies …