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 …
Ultrasound medical imaging techniques: a survey
Ultrasound (US) imaging for medical purposes has been increasing in popularity over the
years. The US technology has some valuable strengths, such as it is harmless, very cheap …
years. The US technology has some valuable strengths, such as it is harmless, very cheap …
Use of artificial intelligence and deep learning in fetal ultrasound imaging
R Ramirez Zegarra, T Ghi - Ultrasound in Obstetrics & …, 2023 - Wiley Online Library
Deep learning is considered the leading artificial intelligence tool in image analysis in
general. Deep‐learning algorithms excel at image recognition, which makes them valuable …
general. Deep‐learning algorithms excel at image recognition, which makes them valuable …
Amniotic fluid classification and artificial intelligence: challenges and opportunities
A fetal ultrasound (US) is a technique to examine a baby's maturity and development. US
examinations have varying purposes throughout pregnancy. Consequently, in the second …
examinations have varying purposes throughout pregnancy. Consequently, in the second …
Towards standardized acquisition with a dual-probe ultrasound robot for fetal imaging
Standardized acquisitions and diagnoses using robots and AI would potentially increase the
general usability and reliability of medical ultrasound. Working towards this prospect, this …
general usability and reliability of medical ultrasound. Working towards this prospect, this …
[HTML][HTML] Deep learning strategies for ultrasound in pregnancy
PHB Diniz, Y Yin, S Collins - European Medical Journal …, 2020 - ncbi.nlm.nih.gov
Ultrasound is one of the most ubiquitous imaging modalities in clinical practice. It is cheap,
does not require ionizing radiation and can be performed at the bedside, making it the most …
does not require ionizing radiation and can be performed at the bedside, making it the most …
Investigating shift variance of convolutional neural networks in ultrasound image segmentation
While accuracy is an evident criterion for ultrasound image segmentation, output
consistency across different tests is equally crucial for tracking changes in regions of interest …
consistency across different tests is equally crucial for tracking changes in regions of interest …
Combining multi-view ensemble and surrogate lagrangian relaxation for real-time 3D biomedical image segmentation on the edge
Real-time 3D biomedical image segmentation is always preferred considering the
exponentially growing medical imaging data for the past decade. Recently deep learning …
exponentially growing medical imaging data for the past decade. Recently deep learning …
Multi-centre deep learning for placenta segmentation in obstetric ultrasound with multi-observer and cross-country generalization
LA Andreasen, A Feragen, AN Christensen… - Scientific Reports, 2023 - nature.com
The placenta is crucial to fetal well-being and it plays a significant role in the pathogenesis
of hypertensive pregnancy disorders. Moreover, a timely diagnosis of placenta previa may …
of hypertensive pregnancy disorders. Moreover, a timely diagnosis of placenta previa may …
A multi-task approach using positional information for ultrasound placenta segmentation
Automatic segmentation of the placenta in fetal ultrasound (US) is challenging due to its high
variations in shape, position and appearance. Convolutional neural networks (CNN) are the …
variations in shape, position and appearance. Convolutional neural networks (CNN) are the …