Advancements in the future of automating micromanipulation techniques in the IVF laboratory using deep convolutional neural networks.

Victoria S JiangDeeksha KartikPrudhvi Thirumalaraju Hemanth Kandula Manoj Kumar Kanakasabapathy Irene SouterIrene DimitriadisCharles L Bormann Hadi Shafiee

Published in: Journal of assisted reproduction and genetics (2022)

Deep CNN models demonstrate powerful potential in accurately identifying key landmarks on oocytes and cleavage stage embryos for micromanipulation. These findings are novel, essential stepping stones in the automation of micromanipulation procedures.

Keyphrases

convolutional neural network
deep learning
current status
dna binding
risk assessment
climate change