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Title:
DEEP NEURAL NETWORK-BASED METHOD FOR DETECTING LIVING CELL MORPHOLOGY, AND RELATED PRODUCT
Document Type and Number:
WIPO Patent Application WO/2022/167005
Kind Code:
A1
Abstract:
A deep neural network-based method for detecting living cell morphology, and a related product. The method comprises: using a deep neural network-based target detection model to identify and locate an acquired image to be detected containing living cells, so as to extract a living single-cell image (S102); segmenting the living single-cell image using a deep neural network-based cell segmentation model, so as to obtain a feature part of the living single cell (S104); and analyzing and determining morphological parameters of the living single cell according to the feature part (S106).

Inventors:
LIU GUOLE (CN)
JIN JIE (CN)
SHI HAO (CN)
JIANG YUQIANG (CN)
YANG GE (CN)
YANG TAO (CN)
Application Number:
PCT/CN2022/084777
Publication Date:
August 11, 2022
Filing Date:
April 01, 2022
Export Citation:
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Assignee:
INST AUTOMATION CAS (CN)
UNIV CAS (CN)
SPERMCATCHER BEIJING BIOTECHNOLOGY CO LTD (CN)
International Classes:
G06T7/00
Domestic Patent References:
WO2020068380A12020-04-02
Foreign References:
CN112508955A2021-03-16
CN111563550A2020-08-21
CN110458821A2019-11-15
CN110705639A2020-01-17
CN112135048A2020-12-25
CN102647561A2012-08-22
Other References:
WANG YONGXIN: "Research on Sperm Morphology Evaluation and Morphological Classification", MEDICINE AND HEALTH SCIENCES, CHINESE MASTER’S THESES FULL-TEXT DATABASE, 15 June 2014 (2014-06-15), XP055955339
LIU YA-PING, QI LIN, ZHANG NAN-NAN, SHI HAO, SU YING-CHUN: "Follicle-stimulating hormone may predict sperm retrieval rate and guide surgical approach in patients with non-obstructive azoospermia", REPRODUCTIVE BIOLOGY, TOWARZYSTWO BIOLOGII ROZRODU, POLAND, vol. 20, no. 4, 1 December 2020 (2020-12-01), Poland , pages 573 - 579, XP055955271, ISSN: 1642-431X, DOI: 10.1016/j.repbio.2020.10.006
Attorney, Agent or Firm:
VCAN IP LAW FIRM (CN)
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