Embryo Selection and Classification in IVF Using Hybrid Deep Learning Approach
Accurately evaluating and choosing viable embryos for implantation is crucial to the success rate of in vitro fertilisation (IVF). Traditional evaluation techniques mostly rely on the subjective and variable eye observation of embryologists. This study suggests a deep learning-based autom...
Uloženo v:
| Hlavní autoři: | , |
|---|---|
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Institute of Technology and Education Galileo da Amazônia
2026-04-01
|
| Edice: | ITEGAM-JETIA |
| On-line přístup: | http://itegam-jetia.org/journal/index.php/jetia/article/view/3104 |
| Tagy: |
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|