Title:
METHOD AND SYSTEM FOR RECOGNIZING CELLS IN EMBRYO LIGHT MICROSCOPE IMAGE, AND DEVICE AND STORAGE MEDIUM
Document Type and Number:
WIPO Patent Application WO/2022/012110
Kind Code:
A1
Abstract:
A method for recognizing cells in an embryo light microscope image, a system (100) for recognizing cells in an embryo light microscope image, and a computer device and a computer-readable storage medium. The method comprises: pre-processing an embryo light microscope image (S101); performing marking processing on the preprocessed embryo light microscope image (S102); inputting the embryo light microscope image, subjected to marking processing, into a Faster RCNN recognition model trained in advance, so as to generate a cell prediction result (S103), wherein the Faster RCNN recognition model comprises a feature extraction network, an RPN, a Roi Align network, a classification regression network and a C-NMS network; and performing cell recognition according to the cell prediction result (S104). According to the method, deep optimization of a Faster RCNN realizes accurate extraction of cells in an embryo light microscope image; in addition, a completely new C-NMS network is also constructed, an overlapping proportion and the area proportion between tested objects are measured, and a measurement score is flexibly adjusted, thereby significantly reducing a missed detection rate.
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Inventors:
WANG JIANBO (CN)
LI WEIZHONG (CN)
WANG WENJUN (CN)
ZHANG NINGFENG (CN)
LI WEIZHONG (CN)
WANG WENJUN (CN)
ZHANG NINGFENG (CN)
Application Number:
PCT/CN2021/090357
Publication Date:
January 20, 2022
Filing Date:
April 27, 2021
Export Citation:
Assignee:
UNIV SUN YAT SEN (CN)
International Classes:
G06K9/00
Foreign References:
| CN112069874A | 2020-12-11 | |||
| CN109598224A | 2019-04-09 | |||
| CN110110799A | 2019-08-09 | |||
| CN110363218A | 2019-10-22 | |||
| US20170206431A1 | 2017-07-20 | |||
| US20190065817A1 | 2019-02-28 |
Attorney, Agent or Firm:
SCIHEAD PATENT AGENT CO., LTD (CN)
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