Original paper
Performance of a deep learning based neural network in the selection of human blastocysts for implantation
Abstract
Deep learning in in vitro fertilization is currently being evaluated in the development of assistive tools for the determination of transfer order and implantation potential using time-lapse data collected through expensive imaging hardware. Assistive tools and algorithms that can work with static images, however, can help in improving the access to care by enabling their use with images acquired from traditional microscopes that are available...
Paper Details
Title
Performance of a deep learning based neural network in the selection of human blastocysts for implantation
Published Date
Sep 15, 2020
Journal
Volume
9