A deep learning model using time-lapse imaging data to predict successful clinical pregnancy and embryo euploidy

被引：0
|
作者：
Maekawa, R. [1 ]
Tanaka, A. [2 ]
Kuramoto, T. [3 ]
Sugino, N. [1 ]
机构：
[1] Yamaguchi Univ, Sch Med, Dept Obstet & Gynecol, Yamaguchi, Japan
[2] St Mother Hosp, Infertil Clin, Kitakyushu, Fukuoka, Japan
[3] Kuramoto Womens Clin, Infertil Clin, Fukuoka, Japan
来源：
HUMAN REPRODUCTION | 2024年 / 39卷
关键词：
D O I：
暂无
中图分类号：
R71 [妇产科学];
学科分类号：
100211 ;
摘要：
P-137
引用
收藏
页码：I257 / I257
页数：1
相关论文
共 50 条
  • [1] Time-lapse velocity imaging via deep learning
    Yuan, Congcong
    Zhang, Xiong
    Jia, Xiaofeng
    Zhang, Jie
    GEOPHYSICAL JOURNAL INTERNATIONAL, 2020, 220 (02) : 1228 - 1241
  • [2] Time-lapse embryo imaging technology: does it improve the clinical results?
    Findikli, Necati
    Oral, Engin
    CURRENT OPINION IN OBSTETRICS & GYNECOLOGY, 2014, 26 (03) : 138 - 144
  • [3] Deep learning for embryo evaluation using time-lapse: a systematic review of diagnostic test accuracy
    Berman, Aya
    Anteby, Roi
    Efros, Orly
    Klang, Eyal
    Soffer, Shelly
    AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY, 2023, 229 (05) : 490 - 501
  • [4] Impact of Obesity on Embryo Morphokinetics using Time-Lapse Imaging.
    Hutchinson, Anne P.
    Kimelman, Dana
    Confino, Rafael
    Zhang, John
    Boots, Christina E.
    Pavone, Mary Ellen
    REPRODUCTIVE SCIENCES, 2019, 26 : 371A - 371A
  • [5] Time-lapse seismic data inversion for estimating reservoir parameters using deep learning
    Kaur, Harpreet
    Zhong, Zhi
    Sun, Alexander
    Fomel, Sergey
    INTERPRETATION-A JOURNAL OF SUBSURFACE CHARACTERIZATION, 2022, 10 (01): : T167 - T179
  • [6] Early detection and classification of live bacteria using time-lapse coherent imaging and deep learning
    Wang, Hongda
    Koydemir, Hatice Ceylan
    Qiu, Yunzhe
    Bai, Bijie
    Zhang, Yibo
    Jin, Yiyin
    Tok, Sabiha
    Yilmaz, Enis Cagatay
    Gumustekin, Esin
    Rivenson, Yair
    Ozcan, Aydogan
    LIGHT-SCIENCE & APPLICATIONS, 2020, 9 (01)
  • [7] Early detection and classification of live bacteria using time-lapse coherent imaging and deep learning
    Hongda Wang
    Hatice Ceylan Koydemir
    Yunzhe Qiu
    Bijie Bai
    Yibo Zhang
    Yiyin Jin
    Sabiha Tok
    Enis Cagatay Yilmaz
    Esin Gumustekin
    Yair Rivenson
    Aydogan Ozcan
    Light: Science & Applications, 9
  • [8] 3D time-lapse imaging of a mouse embryo using intensity diffraction tomography embedded inside a deep learning framework
    Pierre, William
    Herve, Lionel
    Paviolo, Chiara
    Mandula, Ondrej
    Remondiere, Vincent
    Morales, Sophie
    Grudinin, Sergei
    Ray, Pierre F.
    Dhellemmes, Magali
    Arnoult, Christophe
    Allier, Cedric
    APPLIED OPTICS, 2022, 61 (12) : 3337 - 3348
  • [9] Development of an automated two pronuclei detection system on time-lapse embryo images using deep learning techniques
    Fukunaga, Noritaka
    Sanami, Sho
    Kitasaka, Hiroya
    Tsuzuki, Yuji
    Watanabe, Hiroyuki
    Kida, Yuta
    Takeda, Seiji
    Asada, Yoshimasa
    REPRODUCTIVE MEDICINE AND BIOLOGY, 2020, 19 (03) : 286 - 294
  • [10] An artificial intelligence model (euploid prediction algorithm) can predict embryo ploidy status based on time-lapse data
    Huang, Bo
    Tan, Wei
    Li, Zhou
    Jin, Lei
    REPRODUCTIVE BIOLOGY AND ENDOCRINOLOGY, 2021, 19 (01)
12345