Deep learning-enabled blastocyst prediction system for cleavage stage embryo selection

Autor:	Prudhvi Thirumalaraju, Hadi Shafiee, Charles L. Bormann, Manoj Kumar Kanakasabapathy, Raghav Gupta, Irene Dimitriadis, Jennifer Y. Hsu, V. Yogesh, K.A. Dickinson, Irene Souter, Rohan Pooniwala
Rok vydání:	2019
Předmět:	business.industry Computer science Deep learning Obstetrics and Gynecology Computational biology Prediction system Cleavage stage embryo medicine.anatomical_structure Reproductive Medicine medicine Artificial intelligence Blastocyst business Selection (genetic algorithm)
Zdroj:	Fertility and Sterility. 111:e29
ISSN:	0015-0282
DOI:	10.1016/j.fertnstert.2019.02.077
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e8aced1660340fdd184496201da1b47f https://doi.org/10.1016/j.fertnstert.2019.02.077 Zobrazit plný text záznamu