Cascaded networks for the embryo classification on microscopic images using the residual external‐attention-Reference-Cited by-同舟云学术

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Cascaded networks for the embryo classification on microscopic images using the residual external‐attention

Published:2022-07-27 Issue:1 Volume:33 Page:312-322
ISSN:0899-9457
Container-title:International Journal of Imaging Systems and Technology
language:en
Short-container-title:Int J Imaging Syst Tech

Author:

Guo Wei¹,Liu Shijie¹^ORCID,Gong Zhaoxuan¹,Zhang Guodong¹,Jiang Xiran²

Affiliation:

1. School of Computer Shenyang Aerospace University Shenyang China

2. School of Intelligent Medicine China Medical University Shenyang China

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ima.22790

Reference30 articles.

1. Prevalence, Definition, and Classification of Infertility

2. Morphology of the blastocysts is the single most important factor affecting clinical pregnancy rates in IVF PGS cycles with single embryo transfers

3. The morphology of human pronuclear embryos is positively related to blastocyst development and implantation

4. Artificial intelligence techniques for embryo and oocyte classification

5. Improving embryo selection using a computer-automated time-lapse image analysis test plus day 3 morphology: results from a prospective multicenter trial

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