Time-lapse is a technology used to record the development of embryos during in-vitro fertilization (IVF). Accurate classification of embryo early development stages can provide embryologists valuable information for assessing the embryo quality, and hence is critical to the success of IVF. This paper proposes a multi-task deep learning with dynamic programming (MTDL-DP) approach for this purpose. It first uses MTDL to pre-classify each frame in the time-lapse video to an embryo development stage, and then DP to optimize the stage sequence so that the stage number is monotonically non-decreasing, which usually holds in practice. Different MTDL frameworks, e.g., one-to-many, many-to-one, and many-to-many, are investigated. It is shown that the one-to-many MTDL framework achieved the best compromise between performance and computational cost. To our knowledge, this is the first study that applies MTDL to embryo early development stage classification from time-lapse videos.
基金:
Graduates' Innovation Fund, Huazhong University of Science and Technology [5003184032]
语种:
外文
被引次数:
WOS:
中科院(CAS)分区:
出版当年[2018]版:
大类|2 区工程技术
小类|2 区计算机:信息系统3 区工程:电子与电气3 区电信学
最新[2025]版:
大类|4 区计算机科学
小类|4 区计算机:信息系统4 区工程:电子与电气4 区电信学
JCR分区:
出版当年[2017]版:
Q1ENGINEERING, ELECTRICAL & ELECTRONICQ1TELECOMMUNICATIONSQ1COMPUTER SCIENCE, INFORMATION SYSTEMS
最新[2023]版:
Q2COMPUTER SCIENCE, INFORMATION SYSTEMSQ2ENGINEERING, ELECTRICAL & ELECTRONICQ2TELECOMMUNICATIONS
Liu Zihan,Huang Bo,Cui Yuqi,et al.Multi-Task Deep Learning With Dynamic Programming for Embryo Early Development Stage Classification From Time-Lapse Videos[J].IEEE ACCESS.2019,7:122153-122163.doi:10.1109/ACCESS.2019.2937765.
APA:
Liu, Zihan,Huang, Bo,Cui, Yuqi,Xu, Yifan,Zhang, Bo...&Wu, Dongrui.(2019).Multi-Task Deep Learning With Dynamic Programming for Embryo Early Development Stage Classification From Time-Lapse Videos.IEEE ACCESS,7,
MLA:
Liu, Zihan,et al."Multi-Task Deep Learning With Dynamic Programming for Embryo Early Development Stage Classification From Time-Lapse Videos".IEEE ACCESS 7.(2019):122153-122163