Evaluation of deep convolutional neural networks in classifying human embryo images based on their morphological quality

no code implementations • 21 May 2020 • Prudhvi Thirumalaraju, Manoj Kumar Kanakasabapathy, Charles L Bormann, Raghav Gupta, Rohan Pooniwala, Hemanth Kandula, Irene Souter, Irene Dimitriadis, Hadi Shafiee

A critical factor that influences the success of an in-vitro fertilization (IVF) procedure is the quality of the transferred embryo.

Deep learning mediated single time-point image-based prediction of embryo developmental outcome at the cleavage stage

no code implementations • 21 May 2020 • Manoj Kumar Kanakasabapathy, Prudhvi Thirumalaraju, Charles L Bormann, Raghav Gupta, Rohan Pooniwala, Hemanth Kandula, Irene Souter, Irene Dimitriadis, Hadi Shafiee

In conventional clinical in-vitro fertilization practices embryos are transferred either at the cleavage or blastocyst stages of development.