Feasibility of deep learning for predicting live birth from a blastocyst image in patients classified by age
Author:
Affiliation:
1. Medical Data Labo Okayama City Japan
2. Department of Gynecologic Oncology Saitama Medical University International Medical Center Hidaka City Japan
3. Okayama Couple’s Clinic Okayama City Japan
Publisher
Wiley
Subject
Cell Biology,Reproductive Medicine
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/rmb2.12266
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5. Assessment of day-3 morphology and euploidy for individual chromosomes in embryos that develop to the blastocyst stage
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