SYSTEMS AND METHODS OF ASSESSING THE VIABILITY OF EMBRYOS Russian patent published in 2023 - IPC A61B17/435 

Abstract RU 2800079 C2

FIELD: reproductive system.

SUBSTANCE: group of inventions relates to systems and methods of assessing the viability of a human embryo. The following is proposed: a system for implementing a method of assessing the viability of a human embryo which contains the steps during which the following is carried out: a viability indicator for a human embryo is generated by probabilistic classification of data representing a human embryo video using a three-dimensional (3D) artificial neural network (ANN), while a three-dimensional artificial neural network includes a 3D convolutional neural network (CNN), and the 3D CNN includes convolution layers each using a 3D convolution kernel and subsampling layers each using a 3D subsampling kernel; or a three-dimensional (3D) artificial neural network (ANN) is trained to probabilistically classify data representing a human embryo video to obtain a human embryo viability score.

EFFECT: group of inventions provides an increase in the efficiency of obtaining a viable embryo.

34 cl, 22 dwg

Similar patents RU2800079C2

Title Year Author Number
AUTOMATED ASSESSMENT OF QUALITY ASSURANCE INDICATORS FOR ASSISTED REPRODUCTION PROCEDURES 2020
  • Shafiee Hadi
  • Bormann Charles L.
  • Kanakasabapathy Manoj Kumar
  • Thirumalaraju Prudhvi
RU2810125C1
METHOD AND DEVICE FOR CORRECTING DEPTH MAPS FOR MULTIPLE VIEWS 2023
  • Artemyev Mikhail Aleksandrovich
  • Sokolova Anna Ilyinichna
  • Vorontsova Anna Borisovna
  • Limonov Alexander Georgievich
RU2827434C1
NEURAL NETWORK FOR GENERATING SYNTHETIC MEDICAL IMAGES 2017
  • Han, Xiao
RU2698997C1
MODELLING PEOPLE'S CLOTHING BASED ON MULTIPLE POINTS 2021
  • Grigorev Artur Andreevich
  • Lempitsky Victor Sergeevich
  • Zakharkin Ilya Dmitrievich
  • Mazur Kirill Yevgenevich
RU2776825C1
SYSTEM AND METHOD FOR ARTIFICIAL NEURAL NETWORK INVARIANT TO TRANSFERRING 2017
  • Paramonov Vladimir Petrovich
  • Lavrukhin Vitaly Sergeevich
  • Cherniavskii Aleksei Stanislavovich
RU2656990C1
METHOD OF RECOGNIZING SPEECH EMOTIONS USING 3D CONVOLUTIONAL NEURAL NETWORK 2023
  • Kuleev Ramil Fuatovich
  • Abrakham Padat Adzhit
RU2816680C1
VISUALIZATION OF RECONSTRUCTION OF 3D SCENE USING SEMANTIC REGULARIZATION OF NORMALS TSDF WHEN TRAINING NEURAL NETWORK 2023
  • Sokolova Anna Ilyinichna
  • Vorontsova Anna Borisovna
  • Limonov Alexander Georgievich
RU2825722C1
METHOD FOR AUTOMATIC CLASSIFICATION OF X-RAY IMAGES USING TRANSPARENCY MASKS 2019
  • Dabagov Anatolij Rudolfovich
  • Filist Sergej Alekseevich
  • Kondrashov Dmitrij Sergeevich
RU2716914C1
METHOD OF USING ARTIFICIAL INTELLIGENCE TOOLS FOR INTERPRETING RESULTS OBTAINED BY HIGH-RESOLUTION COMPUTED TOMOGRAPHY (HRCT) FOR DIAGNOSING HUMAN INTERSTITIAL LUNG DISEASES (ILD) 2023
  • Tyurin Igor Evgenevich
  • Lukina Olga Vasilevna
  • Stalkov Maksim Aleksandrovich
  • Primak Nikolaj Vitalevich
  • Manakova Yana Leonidovna
  • Garina Marina Arsentevna
  • Pershina Ekaterina Aleksandrovna
  • Sidorov Evgenij Maksimovich
  • Novikov Grigorij Mikhajlovich
RU2827804C1
METHOD AND SYSTEM FOR DETERMINING SYNTHETICALLY MODIFIED FACE IMAGES ON VIDEO 2021
  • Vyshegorodtsev Kirill Evgenevich
  • Balashov Aleksandr Viktorovich
  • Velmozhin Grigorij Alekseevich
  • Sysoev Valentin Valerevich
RU2768797C1

RU 2 800 079 C2

Authors

Tran, Dang-Dinh-Ang

Dates

2023-07-18Published

2018-12-14Filed