Machine learning in fetal cardiology: what to expect

P Garcia-Canadilla, S Sanchez-Martinez… - Fetal diagnosis and …, 2020 - karger.com
In fetal cardiology, imaging (especially echocardiography) has demonstrated to help in the
diagnosis and monitoring of fetuses with a compromised cardiovascular system potentially …

Use of artificial intelligence in obstetrics: not quite ready for prime time

L Sarno, D Neola, L Carbone, G Saccone… - American Journal of …, 2023 - Elsevier
Artificial intelligence is finding several applications in healthcare settings. This study aimed
to report evidence on the effectiveness of artificial intelligence application in obstetrics …

An efficient blood-cell segmentation for the detection of hematological disorders

PK Das, S Meher, R Panda… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The automatic segmentation of blood cells for detecting hematological disorders is a crucial
job. It has a vital role in diagnosis, treatment planning, and output evaluation. The existing …

Multi-task learning for quality assessment of fetal head ultrasound images

Z Lin, S Li, D Ni, Y Liao, H Wen, J Du, S Chen… - Medical image …, 2019 - Elsevier
It is essential to measure anatomical parameters in prenatal ultrasound images for the
growth and development of the fetus, which is highly relied on obtaining a standard plane …

Fetal ultrasound image segmentation for automatic head circumference biometry using deeply supervised attention-gated V-Net

Y Zeng, PH Tsui, W Wu, Z Zhou, S Wu - Journal of Digital Imaging, 2021 - Springer
Automatic computerized segmentation of fetal head from ultrasound images and head
circumference (HC) biometric measurement is still challenging, due to the inherent …

A review of image processing methods for fetal head and brain analysis in ultrasound images

HR Torres, P Morais, B Oliveira, C Birdir… - Computer methods and …, 2022 - Elsevier
Background and objective Examination of head shape and brain during the fetal period is
paramount to evaluate head growth, predict neurodevelopment, and to diagnose fetal …

Application and progress of artificial intelligence in fetal ultrasound

S Xiao, J Zhang, Y Zhu, Z Zhang, H Cao, M Xie… - Journal of Clinical …, 2023 - mdpi.com
Prenatal ultrasonography is the most crucial imaging modality during pregnancy. However,
problems such as high fetal mobility, excessive maternal abdominal wall thickness, and inter …

Direction-guided and multi-scale feature screening for fetal head–pubic symphysis segmentation and angle of progression calculation

Z Chen, Z Ou, Y Lu, J Bai - Expert Systems with Applications, 2024 - Elsevier
Transperineal ultrasound imaging in the mid-sagittal plane can potentially enable the
objective quantification of the level of fetal head descent in the birth canal by measuring the …

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 …

Artificial intelligence in prenatal ultrasound diagnosis

F He, Y Wang, Y Xiu, Y Zhang, L Chen - Frontiers in medicine, 2021 - frontiersin.org
The application of artificial intelligence (AI) technology to medical imaging has resulted in
great breakthroughs. Given the unique position of ultrasound (US) in prenatal screening, the …