AIMC Topic: Pregnancy
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Deep Learning for Nuchal Translucency-Based Screening for Fetal Trisomy 21.
JAMA network open
Jun 1, 2022
Development and Validation of a Deep Learning Model to Screen for Trisomy 21 During the First Trimester From Nuchal Ultrasonographic Images.
JAMA network open
Jun 1, 2022
IMPORTANCE: Accurate screening of trisomy 21 in the first trimester can provide an early opportunity for decision-making regarding reproductive choices.
Performance Evaluation of Machine Learning Algorithm for Classification of Unintended Pregnancy among Married Women in Bangladesh.
Journal of healthcare engineering
May 28, 2022
Intended pregnancy is one of the significant indicators of women's well-being. Globally, 74 million women become pregnant every year without planning. Unintended pregnancies account for 28% of all pregnancies among married women in Bangladesh. This s...
Efficient fetal ultrasound image segmentation for automatic head circumference measurement using a lightweight deep convolutional neural network.
Medical physics
May 24, 2022
PURPOSE: Fetal head circumference (HC) is an important biometric parameter that can be used to assess fetal development in obstetric clinical practice. Most of the existing methods use deep neural network to accomplish the task of automatic fetal HC ...
PFP-LHCINCA: Pyramidal Fixed-Size Patch-Based Feature Extraction and Chi-Square Iterative Neighborhood Component Analysis for Automated Fetal Sex Classification on Ultrasound Images.
Contrast media & molecular imaging
May 18, 2022
OBJECTIVES: Fetal sex determination with ultrasound (US) examination is indicated in pregnancies at risk of X-linked genetic disorders or ambiguous genitalia. However, misdiagnoses often arise due to operator inexperience and technical difficulties w...
[The role of bile acid measurement in the management of intrahepatic cholestasis of pregnancy].
Orvosi hetilap
May 15, 2022
Introduction: Intrahepatic cholestasis of pregnancy complicates 1% of pregnancies. It increases the risk of severe fetal complications significantly, including preterm delivery and stillbirth. Objective: To summarize our experience with serum total b...
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,...
Fast label-free recognition of NRBCs by deep-learning visual object detection and single-cell Raman spectroscopy.
The Analyst
May 3, 2022
Nucleated red blood cells (NRBCs) as a type of rare cell present in an adult's peripheral blood is a concern in hematology, intensive care medicine and prenatal diagnostics. However, it is labor-intensive to screen such rare cells from real complex c...
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...
Predicting exclusive breastfeeding in maternity wards using machine learning techniques.
Computer methods and programs in biomedicine
Apr 26, 2022
BACKGROUND AND OBJECTIVE: Adequate support in maternity wards is decisive for breastfeeding outcomes during the first year of life. Quality improvement interventions require the identification of the factors influencing hospital benchmark indicators....
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