• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

Corrigendum to "PSFHS challenge report: pubic symphysis and fetal head segmentation from intrapartum ultrasound images" [Medical Image Analysis 99 (2025),103353].

作者信息

Bai Jieyun, Zhou Zihao, Ou Zhanhong, Koehler Gregor, Stock Raphael, Maier-Hein Klaus, Elbatel Marawan, Martí Robert, Li Xiaomeng, Qiu Yaoyang, Gou Panjie, Chen Gongping, Zhao Lei, Zhang Jianxun, Dai Yu, Wang Fangyijie, Silvestre Guénolé, Curran Kathleen, Sun Hongkun, Xu Jing, Cai Pengzhou, Jiang Lu, Lan Libin, Ni Dong, Zhong Mei, Chen Gaowen, Campello Víctor M, Lu Yaosheng, Lekadir Karim

机构信息

Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization, Jinan University, Guangzhou, China; Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand.

Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization, Jinan University, Guangzhou, China.

出版信息

Med Image Anal. 2025 Aug;104:103651. doi: 10.1016/j.media.2025.103651. Epub 2025 May 29.

DOI:
10.1016/j.media.2025.103651
PMID:40447517
Abstract
摘要

相似文献

1
Corrigendum to "PSFHS challenge report: pubic symphysis and fetal head segmentation from intrapartum ultrasound images" [Medical Image Analysis 99 (2025),103353].《PSFHS挑战报告:基于产时超声图像的耻骨联合和胎儿头部分割》勘误 [《医学图像分析》99 (2025), 103353]
Med Image Anal. 2025 Aug;104:103651. doi: 10.1016/j.media.2025.103651. Epub 2025 May 29.
2
PSFHS challenge report: Pubic symphysis and fetal head segmentation from intrapartum ultrasound images.PSFHS 挑战赛报告:从产时超声图像中分割耻骨联合和胎儿头部。
Med Image Anal. 2025 Jan;99:103353. doi: 10.1016/j.media.2024.103353. Epub 2024 Sep 21.
3
PSFHS: Intrapartum ultrasound image dataset for AI-based segmentation of pubic symphysis and fetal head.PSFHS:基于人工智能的耻骨联合和胎儿头部分割的产时超声图像数据集。
Sci Data. 2024 May 2;11(1):436. doi: 10.1038/s41597-024-03266-4.
4
RTSeg-net: A lightweight network for real-time segmentation of fetal head and pubic symphysis from intrapartum ultrasound images.RTSeg-net:一种用于实时分割产时超声图像中胎儿头部和耻骨联合的轻量级网络。
Comput Biol Med. 2024 Jun;175:108501. doi: 10.1016/j.compbiomed.2024.108501. Epub 2024 Apr 22.
5
The JNU-IFM dataset for segmenting pubic symphysis-fetal head.用于分割耻骨联合-胎儿头部的JNU-IFM数据集。
Data Brief. 2022 Feb 2;41:107904. doi: 10.1016/j.dib.2022.107904. eCollection 2022 Apr.
6
Fetal Head and Pubic Symphysis Segmentation in Intrapartum Ultrasound Image Using a Dual-Path Boundary-Guided Residual Network.基于双路径边界引导残差网络的产时超声图像中胎儿头部与耻骨联合分割
IEEE J Biomed Health Inform. 2024 Aug;28(8):4648-4659. doi: 10.1109/JBHI.2024.3399762. Epub 2024 Aug 6.
7
PSFHSP-Net: an efficient lightweight network for identifying pubic symphysis-fetal head standard plane from intrapartum ultrasound images.PSFHSP-Net:一种用于识别产时超声图像中耻骨联合-胎儿头标准平面的高效轻量级网络。
Med Biol Eng Comput. 2024 Oct;62(10):2975-2986. doi: 10.1007/s11517-024-03111-1. Epub 2024 May 9.
8
Computed tomographic study of anatomical relationship between pubic symphysis and ischial spines to improve interpretation of intrapartum translabial ultrasound.耻骨联合与坐骨棘解剖关系的计算机断层扫描研究,以改善产时经阴唇超声检查的解读
Ultrasound Obstet Gynecol. 2016 Dec;48(6):779-785. doi: 10.1002/uog.15842.
9
Anatomical identification of ischial spines applicable to intrapartum transperineal ultrasound based on magnetic resonance imaging of pregnant women.基于孕妇磁共振成像的分娩期经会阴超声坐骨棘的解剖学定位
J Matern Fetal Neonatal Med. 2022 Dec;35(25):9736-9741. doi: 10.1080/14767058.2022.2051007. Epub 2022 Mar 14.
10
A framework for computing angle of progression from transperineal ultrasound images for evaluating fetal head descent using a novel double branch network.一种用于从经会阴超声图像计算进展角度以使用新型双分支网络评估胎儿头部下降情况的框架。
Front Physiol. 2022 Dec 2;13:940150. doi: 10.3389/fphys.2022.940150. eCollection 2022.