AutoFB: Automating Fetal Biometry Estimation from Standard Ultrasound Planes
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-87234-2_22
Reference24 articles.
1. Baumgartner, C.F., et al.: SonoNet: Real-time detection and localisation of fetal standard scan planes in freehand ultrasound. IEEE Trans. Med. Imaging 36(11), 2204–2215 (2017)
2. Cavallaro, A., et al.: Quality control of ultrasound for fetal biometry: results from the intergrowth-21st project. Ultrasound Obstetrics Gynecol. 52(3), 332–339 (2018)
3. Chen, L.C., Zhu, Y., Papandreou, G., Schroff, F., Adam, H.: Encoder-decoder with atrous separable convolution for semantic image segmentation. In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 801–818 (2018)
4. Chen, X., et al.: Automatic measurements of fetal lateral ventricles in 2d ultrasound images using deep learning. Front. Neurol. 11, 526 (2020)
5. Dromey, B.P., et al.: Dimensionless squared jerk: an objective differential to assess experienced and novice probe movement in obstetric ultrasound. Prenat. Diagn. 41(2), 271–277 (2020)
Cited by 20 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Automating the Human Action of First-Trimester Biometry Measurement from Real-World Freehand Ultrasound;Ultrasound in Medicine & Biology;2024-06
2. A Comparative Study of Different Segmentation and Regression Models for Fetal Head Circumference Measurement;2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE);2024-02-22
3. Development of birth weight estimation model for Ethiopian population from sonographic evaluation;BMC Pregnancy and Childbirth;2023-12-11
4. Deep learning for estimation of fetal weight throughout the pregnancy from fetal abdominal ultrasound;American Journal of Obstetrics & Gynecology MFM;2023-12
5. BabyNet＋＋: Fetal birth weight prediction using biometry multimodal data acquired less than 24 hours before delivery;Computers in Biology and Medicine;2023-12
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3