AIMC Topic: Ultrasonography, Prenatal

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Using deep-learning in fetal ultrasound analysis for diagnosis of cystic hygroma in the first trimester.

PloS one Jun 22, 2022
OBJECTIVE: To develop and internally validate a deep-learning algorithm from fetal ultrasound images for the diagnosis of cystic hygromas in the first trimester.
Ontario Pregnancy Trimester, First Chromosome Aberrations Humans Pregnancy Lymphangioma, Cystic Female Ultrasonography, Prenatal Deep Learning
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An Automated Deep Learning Model for the Cerebellum Segmentation from Fetal Brain Images.

BioMed research international Jun 16, 2022
Cerebellum measures taken from routinely obtained ultrasound (US) images have been frequently employed to determine gestational age and identify developing central nervous system's anatomical abnormalities. Standardized cerebellar assessments from la...
Pregnancy Female Ultrasonography, Prenatal Deep Learning Humans Ultrasonography Cerebellum Algorithms Image Processing, Computer-Assisted
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Deep Learning Algorithm-Based Ultrasound Image Information in Diagnosis and Treatment of Pernicious Placenta Previa.

Computational and mathematical methods in medicine Jun 6, 2022
This study was to explore the value of the deep dictionary learning algorithm in constructing a B ultrasound scoring system and exploring its application in the clinical diagnosis and treatment of pernicious placenta previa (PPP). 60 patients with PP...
Placenta Previa Deep Learning Ultrasonography Placenta Accreta Retrospective Studies Female Pregnancy Infant, Newborn Ultrasonography, Prenatal Humans
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Task model-specific operator skill assessment in routine fetal ultrasound scanning.

International journal of computer assisted radiology and surgery May 12, 2022
PURPOSE: For highly operator-dependent ultrasound scanning, skill assessment approaches evaluate operator competence given available data, such as acquired images and tracked probe movement. Operator skill level can be quantified by the completeness,...
Pregnancy Female Ultrasonography, Prenatal Task Performance and Analysis Humans Neural Networks, Computer Machine Learning
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Deep learning-based plane pose regression in obstetric ultrasound.

International journal of computer assisted radiology and surgery Apr 30, 2022
PURPOSE: In obstetric ultrasound (US) scanning, the learner's ability to mentally build a three-dimensional (3D) map of the fetus from a two-dimensional (2D) US image represents a major challenge in skill acquisition. We aim to build a US plane local...
Imaging, Three-Dimensional Humans Image Processing, Computer-Assisted Ultrasonography, Prenatal Neural Networks, Computer Gestational Age Deep Learning Pregnancy Ultrasonography Female
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Deep learning fetal ultrasound video model match human observers in biometric measurements.

Physics in medicine and biology Feb 16, 2022
This work investigates the use of deep convolutional neural networks (CNN) to automatically perform measurements of fetal body parts, including head circumference, biparietal diameter, abdominal circumference and femur length, and to estimate gestati...
Gestational Age Biometry Ultrasonography, Prenatal Humans Deep Learning Pregnancy Fetus Female
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ISSMF: Integrated semantic and spatial information of multi-level features for automatic segmentation in prenatal ultrasound images.

Artificial intelligence in medicine Feb 15, 2022
As an effective way of routine prenatal diagnosis, ultrasound (US) imaging has been widely used recently. Biometrics obtained from the fetal segmentation shed light on fetal health monitoring. However, the segmentation in US images has strict require...
Humans Neural Networks, Computer Ultrasonography Image Processing, Computer-Assisted Semantics Pregnancy Female Ultrasonography, Prenatal
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Automatic Placenta Localization From Ultrasound Imaging in a Resource-Limited Setting Using a Predefined Ultrasound Acquisition Protocol and Deep Learning.

Ultrasound in medicine & biology Jan 19, 2022
Placenta localization from obstetric 2-D ultrasound (US) imaging is unattainable for many pregnant women in low-income countries because of a severe shortage of trained sonographers. To address this problem, we present a method to automatically detec...
Placenta Previa Ultrasonography Image Processing, Computer-Assisted Placenta Humans Pregnancy Female Ultrasonography, Prenatal Deep Learning
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Exploring a new paradigm for the fetal anomaly ultrasound scan: Artificial intelligence in real time.

Prenatal diagnosis Oct 18, 2021
OBJECTIVE: Advances in artificial intelligence (AI) have demonstrated potential to improve medical diagnosis. We piloted the end-to-end automation of the mid-trimester screening ultrasound scan using AI-enabled tools.
Congenital Abnormalities Adult Ultrasonography, Prenatal Gestational Age Pregnancy Humans Female Artificial Intelligence Reproducibility of Results Prospective Studies
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Machine learning guided postnatal gestational age assessment using new-born screening metabolomic data in South Asia and sub-Saharan Africa.

BMC pregnancy and childbirth Sep 7, 2021
BACKGROUND: Babies born early and/or small for gestational age in Low and Middle-income countries (LMICs) contribute substantially to global neonatal and infant mortality. Tracking this metric is critical at a population level for informed policy, ad...
Neonatal Screening Gestational Age Prospective Studies Infant, Newborn Asia Ultrasonography, Prenatal Metabolomics Premature Birth Pregnancy Cohort Studies Male Female Developing Countries Humans ROC Curve Africa South of the Sahara Machine Learning Algorithms
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