End-to-end deep learning pipeline for prediction of IVF outcomes using ultrasound data

被引:0
|
作者
Vali, M. [1 ]
Yang, J. [2 ]
Vali, S. [3 ,4 ]
Azevedo, T. [2 ]
Lio, P. [2 ]
Thum, Y. [5 ]
机构
[1] Univ Cambridge, Phys, Cambridge, England
[2] Univ Cambridge, Comp Sci & Technol, Cambridge, England
[3] Imperial Coll London, Dept Surg & Canc, London, England
[4] Hillingdon Hosp NHS Fdn Trust, Obstet & Gynaecol, Uxbridge, Middx, England
[5] Lister Hosp, Lister Fertil Clin, London, England
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
eP-835
引用
收藏
页码:187 / 187
页数:1
相关论文
共 50 条
  • [21] DeepDive: An End-to-End Dehazing Method Using Deep Learning
    Goncalves, Lucas T.
    Gaya, Joel O.
    Drews, Paulo, Jr.
    Botelho, Silvia S. C.
    2017 30TH SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI), 2017, : 436 - 441
  • [22] Arabic speech recognition using end-to-end deep learning
    Alsayadi, Hamzah A.
    Abdelhamid, Abdelaziz A.
    Hegazy, Islam
    Fayed, Zaki T.
    IET SIGNAL PROCESSING, 2021, 15 (08) : 521 - 534
  • [23] Autonomous Driving Control Using End-to-End Deep Learning
    Lee, Myoung-jae
    Ha, Young-guk
    2020 IEEE INTERNATIONAL CONFERENCE ON BIG DATA AND SMART COMPUTING (BIGCOMP 2020), 2020, : 470 - 473
  • [24] Fast ultrasonic imaging using end-to-end deep learning
    Pilikos, Georgios
    Horchens, Lars
    Batenburg, Kees Joost
    van Leeuwen, Tristan
    Lucka, Felix
    PROCEEDINGS OF THE 2020 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IUS), 2020,
  • [25] Quality prediction for milling processes: automated parametrization of an end-to-end machine learning pipeline
    Alexander Fertig
    Christoph Preis
    Matthias Weigold
    Production Engineering, 2023, 17 : 237 - 245
  • [26] Quality prediction for milling processes: automated parametrization of an end-to-end machine learning pipeline
    Fertig, Alexander
    Preis, Christoph
    Weigold, Matthias
    PRODUCTION ENGINEERING-RESEARCH AND DEVELOPMENT, 2023, 17 (02): : 237 - 245
  • [27] End-to-end prediction of weld penetration: A deep learning and transfer learning based method
    Jiao, Wenhua
    Wang, Qiyue
    Cheng, Yongchao
    Zhang, YuMing
    JOURNAL OF MANUFACTURING PROCESSES, 2021, 63 : 191 - 197
  • [28] A robust and interpretable, end-to-end deep learning model for cytometry data
    Hu, Zicheng
    Tang, Alice
    Singh, Jaiveer
    Bhattacharya, Sanchita
    Butte, Atul
    JOURNAL OF IMMUNOLOGY, 2020, 204 (01):
  • [29] A robust and interpretable end-to-end deep learning model for cytometry data
    Hu, Zicheng
    Tang, Alice
    Singh, Jaiveer
    Bhattacharya, Sanchita
    Butte, Atul J.
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2020, 117 (35) : 21373 - 21380
  • [30] Data analysis pipeline for EChO end-to-end simulations
    Ingo P. Waldmann
    E. Pascale
    Experimental Astronomy, 2015, 40 : 639 - 654