AIMC Topic: Embryo, Mammalian
Clear Filters Showing 11 to 20 of 45 articles
Deep learning enabled multi-organ segmentation of mouse embryos.
Biology open
Feb 21, 2023
The International Mouse Phenotyping Consortium (IMPC) has generated a large repository of three-dimensional (3D) imaging data from mouse embryos, providing a rich resource for investigating phenotype/genotype interactions. While the data is freely av...
Association between a deep learning-based scoring system with morphokinetics and morphological alterations in human embryos.
Reproductive biomedicine online
Aug 13, 2022
RESEARCH QUESTION: What is the association between the deep learning-based scoring system, iDAScore, and biological events during the pre-implantation period?
Using artificial intelligence to avoid human error in identifying embryos: a retrospective cohort study.
Journal of assisted reproduction and genetics
Aug 13, 2022
PURPOSE: To determine whether convolutional neural networks (CNN) can be used to accurately ascertain the patient identity (ID) of cleavage and blastocyst stage embryos based on image data alone.
Stain-free detection of embryo polarization using deep learning.
Scientific reports
Feb 14, 2022
Polarization of the mammalian embryo at the right developmental time is critical for its development to term and would be valuable in assessing the potential of human embryos. However, tracking polarization requires invasive fluorescence staining, im...
Robust and generalizable embryo selection based on artificial intelligence and time-lapse image sequences.
PloS one
Feb 2, 2022
Assessing and selecting the most viable embryos for transfer is an essential part of in vitro fertilization (IVF). In recent years, several approaches have been made to improve and automate the procedure using artificial intelligence (AI) and deep le...
Inter-centre reliability in embryo grading across several IVF clinics is limited: implications for embryo selection.
Reproductive biomedicine online
Oct 6, 2021
RESEARCH QUESTION: What is the intra- and inter-centre reliability in embryo grading performed according to the Istanbul Consensus across several IVF clinics?
Adaptive adversarial neural networks for the analysis of lossy and domain-shifted datasets of medical images.
Nature biomedical engineering
Jun 10, 2021
In machine learning for image-based medical diagnostics, supervised convolutional neural networks are typically trained with large and expertly annotated datasets obtained using high-resolution imaging systems. Moreover, the network's performance can...
Application of multi-omics data integration and machine learning approaches to identify epigenetic and transcriptomic differences between in vitro and in vivo produced bovine embryos.
PloS one
May 24, 2021
Pregnancy rates for in vitro produced (IVP) embryos are usually lower than for embryos produced in vivo after ovarian superovulation (MOET). This is potentially due to alterations in their trophectoderm (TE), the outermost layer in physical contact w...
Evaluation of artificial intelligence using time-lapse images of IVF embryos to predict live birth.
Reproductive biomedicine online
May 15, 2021
RESEARCH QUESTION: Can artificial intelligence (AI) improve the prediction of live births based on embryo images?
An open-source semi-automated robotics pipeline for embryo immunohistochemistry.
Scientific reports
May 13, 2021
A significant challenge for developmental systems biology is balancing throughput with controlled conditions that minimize experimental artifacts. Large-scale developmental screens such as unbiased mutagenesis surveys have been limited in their appli...
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