The use of voting ensembles to improve the accuracy of deep neural networks as a non-invasive method to predict embryo ploidy status
Titel:
The use of voting ensembles to improve the accuracy of deep neural networks as a non-invasive method to predict embryo ploidy status
Auteur:
Jiang, Victoria S. Kandula, Hemanth Thirumalaraju, Prudhvi Kanakasabapathy, Manoj Kumar Cherouveim, Panagiotis Souter, Irene Dimitriadis, Irene Bormann, Charles L. Shafiee, Hadi