The use of voting ensembles to improve the accuracy of deep neural networks as a non-invasive method to predict embryo ploidy status
Victoria S. Jiang, Hemanth Kandula, Prudhvi Thirumalaraju, Manoj Kumar Kanakasabapathy, Panagiotis Cherouveim, Irene Souter, Irene Dimitriadis, Charles L. Bormann, Hadi Shafiee
Topics & Concepts
Convolutional neural networkEmbryo qualityArtificial intelligenceComputer scienceSupport vector machineAneuploidyEmbryoMachine learningPattern recognition (psychology)BiologyIn vitro fertilisationChromosomeGeneticsGenePrenatal Screening and DiagnosticsReproductive Biology and FertilityOvarian function and disorders