VP18.01: Machine learning applied to the standardised six-step approach for placental localisation in basic obstetric ultrasound
VP18.01: Machine learning applied to the standardised six-step approach for placental localisation in basic obstetric ultrasound
复制标题
VP18.01：机器学习应用于基础产科超声胎盘定位的标准化六步方法
DOI：
10.1002/uog.24297
复制
发表时间：
2021
影响因子：
7.1
通讯作者：
Self A
中科院分区：
文献类型：
--
作者：
Self A
结论：膀胱充盈和低骨盆边缘扫描可独立改善宫颈和下段的可视化，并改善基础经腹胎儿超声检查中的胎盘定位。VP18。01：机器学习应用于基础产科超声胎盘定位的标准化六步法临床扫描协议已用于低资源环境中的基础超声培训和远程医疗。[摘自文章]妇产科超声的版权是Wiley-Blackwell的财产，未经版权保持器的明确书面许可，其内容不得复制或通过电子邮件发送到多个网站或发布到列表服务器。但是，用户可以打印，下载或电子邮件的文章供个人使用。这篇摘要可以删节。对副本的准确性不作任何保证。用户应参考原始出版版本的材料的完整摘要。版权适用于所有摘要。
Conclusions Both bladder filling and inclusion of a low pelvic brim sweep independently improve visualisation of the cervix and lower segment and improve placental localisation during basic transabdominal fetal ultrasound. VP18. 01: Machine learning applied to the standardised six-step approach for placental localisation in basic obstetric ultrasound Clinical scanning protocols have been used for basic ultrasound training and telemedicine in low-resource settings.[Extracted from the article]Copyright of Ultrasound in Obstetrics & Gynecology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. Copyright applies to all Abstracts.