Prediction of pregnancy outcomes in IVF patients using multi-modal deep learning methods

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] Hillingdon Hosp NHS Fdn Trust, Obstet & Gynaecol, Uxbridge, Middx, England
[4] Imperial Coll London, Dept Surg & Canc, London, 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
MTeP-14
引用
收藏
页码:46 / 47
页数:2
相关论文
共 50 条
  • [41] Memory based fusion for multi-modal deep learning
    Priyasad, Darshana
    Fernando, Tharindu
    Denman, Simon
    Sridharan, Sridha
    Fookes, Clinton
    INFORMATION FUSION, 2021, 67 : 136 - 146
  • [42] Deep contrastive representation learning for multi-modal clustering
    Lu, Yang
    Li, Qin
    Zhang, Xiangdong
    Gao, Quanxue
    NEUROCOMPUTING, 2024, 581
  • [43] Multi-modal deep learning to predict cancer outcomes by integrating radiology and pathology images
    Li, Zhe
    Jiang, Yuming
    Li, Ruijiang
    CANCER RESEARCH, 2024, 84 (06)
  • [44] Multi-modal learning for inpatient length of stay prediction
    Chen, Junde
    Wen, Yuxin
    Pokojovy, Michael
    Tseng, Tzu-Liang
    McCaffrey, Peter
    Vo, Alexander
    Walser, Eric
    Moen, Scott
    COMPUTERS IN BIOLOGY AND MEDICINE, 2024, 171
  • [45] A multi-modal deep learning model for prediction of Ki-67 for meningiomas using pretreatment MR images
    Chen, Chaoyue
    Zhao, Yanjie
    Cai, Linrui
    Jiang, Haoze
    Teng, Yuen
    Zhang, Yang
    Zhang, Shuangyi
    Zheng, Junkai
    Zhao, Fumin
    Huang, Zhouyang
    Xu, Xiaolong
    Zan, Xin
    Xu, Jianfeng
    Zhang, Lei
    Xu, Jianguo
    NPJ PRECISION ONCOLOGY, 2025, 9 (01)
  • [46] DEEP LEARNING MODELS USING MULTI-MODAL REMOTE SENSING FOR PREDICTION OF MAIZE YIELD IN PLANT BREEDING EXPERIMENTS
    Toledo, Claudia Aviles
    Crawford, Melba
    IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2023, : 487 - 490
  • [47] Research on Multi-modal Class Incremental Learning Methods
    Su, Han
    Chen, Jin
    Guo, Xiaohong
    Han, Haoran
    PROCEEDINGS OF 2024 CHINESE INTELLIGENT SYSTEMS CONFERENCE, VOL 3, CISC 2024, 2024, 1285 : 614 - 622
  • [48] CovidSafe: A Deep Learning Framework for Covid Detection Using Multi-modal Approach
    Srikanth, Panigrahi
    Behera, Chandan Kumar
    Routhu, Srinivasa Rao
    NEW GENERATION COMPUTING, 2025, 43 (01)
  • [49] Robotic grasping recognition using multi-modal deep extreme learning machine
    Jie Wei
    Huaping Liu
    Gaowei Yan
    Fuchun Sun
    Multidimensional Systems and Signal Processing, 2017, 28 : 817 - 833
  • [50] Robotic grasping recognition using multi-modal deep extreme learning machine
    Wei, Jie
    Liu, Huaping
    Yan, Gaowei
    Sun, Fuchun
    MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING, 2017, 28 (03) : 817 - 833