Feasibility of deep learning for predicting live birth from a blastocyst image in patients classified by age

机译：在按年龄分类的患者中深度学习可根据胚泡图像预测活产的可行性

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摘要

PurposeTo identify artificial intelligence (AI) classifiers in images of blastocysts to predict the probability of achieving a live birth in patients classified by age. Results are compared to those obtained by conventional embryo (CE) evaluation.

机译：目的在胚泡图像中识别人工智能（AI）分类器，以预测按年龄分类的患者实现活产的可能性。将结果与通过常规胚胎（CE）评估获得的结果进行比较。

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期刊名称 Reproductive Medicine and Biology
作者
Yasunari Miyagi; Toshihiro Habara; Rei Hirata; Nobuyoshi Hayashi;
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作者单位

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年(卷),期 2019(18),2
年度 2019
页码 190–203
总页数 14
原文格式 PDF
正文语种
中图分类生物学;
关键词
artificial intelligence blastocyst deep learning live birth neural network;

机译：人工智能;胚泡;深度学习;活产;神经网络;

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专利

1. Feasibility of deep learning for predicting live birth from a blastocyst image in patients classified by age [J] . Yasunari Miyagi Reproductive medicine and biology . 2019,第2期

机译：预测年龄归类的患者胚泡形象的深度学习的可行性
2. Feasibility of predicting live birth by combining conventional embryo evaluation with artificial intelligence applied to a blastocyst image in patients classified by age [J] . Yasunari Miyagi, Toshihiro Habara, Rei Hirata, Reproductive medicine and biology . 2019,第4期

机译：通过将常规胚胎评估与人工智能组合在年龄归类的患者中施加到胚泡形象中的常规胚胎评估来预测活胎的可行性
3. Feasibility of artificial intelligence for predicting live birth without aneuploidy from a blastocyst image [J] . Yasunarl Miyagi Reproductive medicine and biology . 2019,第2期

机译：从胚泡图像中没有随风差的人工智能预测活智能的可行性
4. Deep Learning in IVF to Predict the Embryo Infertility from Blastocyst Images [C] . Satya kiranmai Tadepalli, P. V. Lakshmi International Conference on Communications and Cyber Physical Engineering . 2020

机译：IVF中的深度学习预测胚泡图像的胚胎不育症
5. Deep Learning for Ultrasound Image Analysis: From Feasibility to Robustness [D] . Yang, Xin. 2019

机译：深度学习超声图像分析：从可行性到鲁棒性
6. Feasibility of predicting live birth by combining conventional embryo evaluation with artificial intelligence applied to a blastocyst image in patients classified by age [O] . Yasunari Miyagi, Toshihiro Habara, Rei Hirata, 2019

机译：在按年龄分类的患者中通过将常规胚胎评估与应用于囊胚图像的人工智能相结合来预测活产的可行性
7. Feasibility of predicting live birth by combining conventional embryo evaluation with artificial intelligence applied to a blastocyst image in patients classified by age [O] . Yasunari Miyagi, Toshihiro Habara, Rei Hirata, 2019

机译：通过将常规胚胎评估与人工智能组合在年龄归类的患者患者中施加到胚泡形象的常规胚胎评估来预测活胎的可行性

Feasibility of deep learning for predicting live birth from a blastocyst image in patients classified by age

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