A Deep Learning Framework Design for Automatic Blastocyst Evaluation With Multifocal Images
To design a deep learning network model for automatic human blastocyst quality assessment with multifocal images, a total of 11,275 images of 1,025 normally fertilized blastocysts underwent traditional in vitro fertilization (IVF) treatment between May 2017 and August 2018. Images captured 116&#...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2021-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9328791/ |