ArticleScientific data2017
Automatized image processing of bovine blastocysts produced in vitro for quantitative variable determination.
Article in Scientific data, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 29 citations in OpenAlex.
- Application of imaging and spectroscopy techniques for grading of bovine embryos - a review.Frontiers in veterinary science · 2024Review
- Pre-Implantation Bovine Embryo Evaluation-From Optics to Omics and Beyond.Animals : an open access journal from MDPI · 2023Review
- An annotated human blastocyst dataset to benchmark deep learning architectures for in vitro fertilization.Scientific data · 2023Article
- Applications of livestock monitoring devices and machine learning algorithms in animal production and reproduction: an overview.Animal reproduction · 2023Article
- Association between the morphokinetics of in-vitro-derived bovine embryos and the transcriptomic profile of the derived blastocysts.PloS one · 2022Article
- Evaluation of deep convolutional neural networks in classifying human embryo images based on their morphological quality.Heliyon · 2021Article
- Performance of a deep learning based neural network in the selection of human blastocysts for implantation.eLife · 2020Article
- Consistency and objectivity of automated embryo assessments using deep neural networks.Fertility and sterility · 2020Article
- Predicting pregnancy test results after embryo transfer by image feature extraction and analysis using machine learning.Scientific reports · 2020Article
- Application of artificial intelligence to the diagnosis and therapy of colorectal cancer.American journal of cancer research · 2020Review
- Artificial Intelligence-Based Grading Quality of Bovine Blastocyst Digital Images: Direct Capture with Juxtaposed Lenses of Smartphone Camera and Stereomicroscope Ocular Lens.Sensors (Basel, Switzerland) · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There is currently no objective, real-time and non-invasive method for evaluating the quality of mammalian embryos. In this study, we processed images of in vitro produced bovine blastocysts to obtain a deeper comprehension of the embryonic morphological aspects that are related to the standard evaluation of blastocysts. Information was extracted from 482 digital images of blastocysts. The resulting imaging data were individually evaluated by three experienced embryologists who graded their quality. To avoid evaluation bias, each image was related to the modal value of the evaluations. Automated image processing produced 36 quantitative variables for each image. The images, the modal and individual quality grades, and the variables extracted could potentially be used in the development of artificial intelligence techniques (e.g., evolutionary algorithms and artificial neural networks), multivariate modelling and the study of defined structures of the whole blastocyst.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.