A review on deep-learning algorithms for fetal ultrasound-image analysis

MC Fiorentino, FP Villani, M Di Cosmo, E Frontoni… - Medical image …, 2023 - Elsevier
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 …

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 …

Addressing class imbalance in deep learning for small lesion detection on medical images

A Bria, C Marrocco, F Tortorella - Computers in biology and medicine, 2020 - Elsevier
Deep learning methods utilizing Convolutional Neural Networks (CNNs) have led to
dramatic advances in automated understanding of medical images. However, in many …

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 …

Automatic fetal biometry prediction using a novel deep convolutional network architecture

MG Oghli, A Shabanzadeh, S Moradi, N Sirjani… - Physica Medica, 2021 - Elsevier
Purpose Fetal biometric measurements face a number of challenges, including the presence
of speckle, limited soft-tissue contrast and difficulties in the presence of low amniotic fluid …

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 …

A systematic review on intracranial aneurysm and hemorrhage detection using machine learning and deep learning techniques

SN Ahmed, P Prakasam - Progress in Biophysics and Molecular Biology, 2023 - Elsevier
The risk of discovering an intracranial aneurysm during the initial screening and follow-up
screening are reported as around 11%, and 7% respectively (Zuurbie et al., 2023) to these …

Deep learning fetal ultrasound video model match human observers in biometric measurements

S Płotka, A Klasa, A Lisowska… - Physics in Medicine …, 2022 - iopscience.iop.org
Objective. This work investigates the use of deep convolutional neural networks (CNN) to
automatically perform measurements of fetal body parts, including head circumference …

Ensemble transfer learning for fetal head analysis: from segmentation to gestational age and weight prediction

M Alzubaidi, M Agus, U Shah, M Makhlouf, K Alyafei… - Diagnostics, 2022 - mdpi.com
Ultrasound is one of the most commonly used imaging methodologies in obstetrics to
monitor the growth of a fetus during the gestation period. Specifically, ultrasound images are …