AIMC Topic: Echoencephalography

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Advantages of fully automated AI-enhanced algorithm (5D CNS+™) for generating a fetal neurosonogram in clinical routine.

Journal of perinatal medicine Sep 15, 2025
OBJECTIVES: The objective was to demonstrate superiority of a fully vs. semi-automated approach (5D CNS+™) and to verify operators could handle and benefit from a fully automated rendering volumetric datasets to generate a complete fetal neurosonogra...
Humans Artificial Intelligence Algorithms Brain Pregnancy Female Ultrasonography, Prenatal Imaging, Three-Dimensional Echoencephalography
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Multilevel Strip Pooling-Based Convolutional Neural Network for the Classification of Carotid Plaque Echogenicity.

Computational and mathematical methods in medicine Aug 18, 2021
Carotid plaque echogenicity in ultrasound images has been found to be closely correlated with the risk of stroke in atherosclerotic patients. The automatic and accurate classification of carotid plaque echogenicity is of great significance for clinic...
Humans Neural Networks, Computer Ultrasonography Computational Biology Image Interpretation, Computer-Assisted Carotid Arteries Carotid Stenosis Echoencephalography
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Learning-based prediction of gestational age from ultrasound images of the fetal brain.

Medical image analysis Jan 3, 2015
We propose an automated framework for predicting gestational age (GA) and neurodevelopmental maturation of a fetus based on 3D ultrasound (US) brain image appearance. Our method capitalizes on age-related sonographic image patterns in conjunction wit...
Humans Artificial Intelligence Algorithms Brain Female Reproducibility of Results Sensitivity and Specificity Male Ultrasonography, Prenatal Image Interpretation, Computer-Assisted Pattern Recognition, Automated Image Enhancement Gestational Age Crown-Rump Length Echoencephalography
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