EfficientNet-B0 outperforms other CNNs in image-based five-class embryo grading: a comparative analysis
Background: Evaluating embryo quality is crucial for the success of in vitro fertilization procedures. Traditional methods, such as the Gardner grading system, rely on subjective human assessment of morphological features, leading to potential inconsistencies and errors. Artificial intelligence-powe...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
The Korean Society of Animal Reproduction and Biotechnology
2024-12-01
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| Series: | Journal of Animal Reproduction and Biotechnology |
| Subjects: | |
| Online Access: | https://www.e-jarb.org/journal/view.html?uid=2713&vmd=Full |
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