Search results for "Blastocyst implantation"

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Analysis of the morphological dynamics of blastocysts after vitrification/warming: defining new predictive variables of implantation

2017

Objective To describe the morphological dynamics of vitrified/warmed blastocysts and to identify quantitative morphological variables related to implantation. Subsequently, by using the most predictive parameters, to develop a hierarchical model by subdividing vitrified/warmed blastocysts into categories with different implantation potentials. Design Observational, retrospective, cohort study. Setting University-affiliated private IVF center. Patient(s) The study included 429 vitrified/warmed blastocysts with known implantation data, which were evaluated by time-lapse imaging. Blastocysts were routinely placed in EmbryoScope (Vitrolife) immediately after warming until transfer. Intervention…

0301 basic medicinemedicine.medical_specialtyHot TemperaturePregnancy RateEmbryonic DevelopmentBiologyLogistic regressionTime-Lapse ImagingAndrology03 medical and health sciences0302 clinical medicinePregnancymedicineHumansInner cell massVitrificationEmbryo ImplantationBlastocystBlastocyst implantationreproductive and urinary physiologyRetrospective Studies030219 obstetrics & reproductive medicineInfant NewbornOutcome measuresObstetrics and GynecologyPrognosisVitrificationConfidence intervalSurgeryBlastocyst030104 developmental biologymedicine.anatomical_structureReproductive MedicineInfertilityembryonic structuresFemalePredictive variablesFertility and Sterility
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Predicting the Success of Blastocyst Implantation from Morphokinetic Parameters Estimated through CNNs and Sum of Absolute Differences

2019

The process of In Vitro Fertilization deals nowadays with the challenge of selecting viable embryos with the highest probability of success in the implantation. In this topic, we present a computer-vision-based system to analyze the videos related to days of embryo development which automatically extracts morphokinetic features and estimates the success of implantation. A robust algorithm to detect the embryo in the culture image is proposed to avoid artifacts. Then, the ability of Convolutional Neural Networks (CNNs) for predicting the number of cells per frame is novelty combined with the Sum of Absolute Differences (SAD) signal in charge of capturing the amount of intensity changes durin…

In vitro fertilisationComputer sciencebusiness.industryDeep learningmedicine.medical_treatmentFrame (networking)Embryogenesis020206 networking & telecommunicationsPattern recognitionEmbryoImage processing02 engineering and technologyConvolutional neural networkSum of absolute differencesmedicine.anatomical_structure0202 electrical engineering electronic engineering information engineeringmedicine020201 artificial intelligence & image processingBlastocystArtificial intelligenceBlastocyst implantationbusiness2019 27th European Signal Processing Conference (EUSIPCO)
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