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

Victoria S JiangDeeksha KartikPrudhvi ThirumalarajuHemanth KandulaManoj Kumar KanakasabapathyIrene SouterIrene DimitriadisCharles L BormannHadi 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
  • pregnancy outcomes
  • pregnant women
  • transcription factor
  • climate change