AIMC Topic: Fetus
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Identifying fetal yawns based on temporal dynamics of mouth openings: A preterm neonate model using support vector machines (SVMs).
PloS one
Dec 19, 2019
Fetal yawning is of interest because of its clinical, developmental and theoretical implications. However, the methodological challenges of identifying yawns from ultrasonographic scans have not been systematically addressed. We report two studies th...
Supervised classification approach of biometric measures for automatic fetal defect screening in head ultrasound images.
Journal of medical engineering & technology
Sep 10, 2019
This paper presents an advanced approach for foetal brain abnormalities diagnostic by integrating significant biometric features in the identification process. In foetal anomaly diagnosis, manual evaluation of foetal behaviour in ultrasound images is...
Weakly Supervised Estimation of Shadow Confidence Maps in Fetal Ultrasound Imaging.
IEEE transactions on medical imaging
Apr 25, 2019
Detecting acoustic shadows in ultrasound images is important in many clinical and engineering applications. Real-time feedback of acoustic shadows can guide sonographers to a standardized diagnostic viewing plane with minimal artifacts and can provid...
Latent Phase Detection of Hypoxic-Ischemic Spike Transients in the EEG of Preterm Fetal Sheep Using Reverse Biorthogonal Wavelets & Fuzzy Classifier.
International journal of neural systems
Mar 26, 2019
Hypoxic-ischemic (HI) studies in preterms lack reliable prognostic biomarkers for diagnostic tests of HI encephalopathy (HIE). Our group's observations from fetal sheep models suggest that potential biomarkers of HIE in the form of developing HI mic...
Multi-task SonoEyeNet: Detection of Fetal Standardized Planes Assisted by Generated Sonographer Attention Maps.
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
Sep 26, 2018
We present a novel multi-task convolutional neural network called Multi-task SonoEyeNet () that learns to generate clinically relevant visual attention maps using sonographer gaze tracking data on input ultrasound (US) video frames so as to assist st...
Artificial intelligence assistance for fetal head biometry: Assessment of automated measurement software.
Diagnostic and interventional imaging
Sep 1, 2018
PURPOSE: To evaluate the feasibility and reproducibility of artificial intelligence software (Smartplanes) to automatically identify the transthalamic plane from 3D ultrasound volumes and to measure the biparietal diameter (BPD) and head circumferenc...
Real-Time Deep Pose Estimation With Geodesic Loss for Image-to-Template Rigid Registration.
IEEE transactions on medical imaging
Aug 21, 2018
With an aim to increase the capture range and accelerate the performance of state-of-the-art inter-subject and subject-to-template 3-D rigid registration, we propose deep learning-based methods that are trained to find the 3-D position of arbitrarily...
Fetal health status prediction based on maternal clinical history using machine learning techniques.
Computer methods and programs in biomedicine
Jun 14, 2018
BACKGROUND AND OBJECTIVE: Congenital anomalies are seen at 1-3% of the population, probabilities of which are tried to be found out primarily through double, triple and quad tests during pregnancy. Also, ultrasonographical evaluations of fetuses enha...
Decision Trees
Area Under Curve
Bayes Theorem
Internet
Algorithms
Pregnancy
Female
Reproducibility of Results
Ultrasonography, Prenatal
Humans
Diagnosis, Computer-Assisted
Machine Learning
ROC Curve
Logistic Models
Mobile Applications
Support Vector Machine
Health Status
Regression Analysis
Telemedicine
Fetus
Perception
Congenital Abnormalities
A metabolomics-based approach for non-invasive screening of fetal central nervous system anomalies.
Metabolomics : Official journal of the Metabolomic Society
May 25, 2018
BACKGROUND: Central nervous system anomalies represent a wide range of congenital birth defects, with an incidence of approximately 1% of all births. They are currently diagnosed using ultrasound evaluation. However, there is strong need for a more a...
A Crossover Comparison of Standard and Telerobotic Approaches to Prenatal Sonography.
Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
Apr 24, 2018
OBJECTIVES: To determine the feasibility of a telerobotic approach to remotely perform prenatal sonographic examinations.
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