Automated Fetal Brain Extraction from Clinical Ultrasound Volumes Using 3D Convolutional Neural Networks
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-39343-4_13
Reference13 articles.
1. Kim, M.S., Jeanty, P., Turner, C., Benoit, B.: Three-dimensional sonographic evaluations of embryonic brain development. J. Ultrasound Med. 27(1), 119–24 (2008)
2. Haratz, K.K., Lerman-Sagie, T.: Prenatal diagnosis of brainstem anomalies. Eur. J. Paediatr. Neurol. 22(6), 1016–1026 (2018)
3. Lecture Notes in Computer Science;AIL Namburete,2018
4. International society of ultrasound in obstetrics & gynecology education committee: sonographic examination of the fetal central nervous system: guidelines for performing the ‘basic examination’ and the ‘fetal neurosonogram’. Ultrasound Obstet. Gynecol. 29(1), 109–116 (2007)
5. Serag, A., et al.: Accurate Learning with Few Atlases (ALFA): an algorithm for MRI neonatal brain extraction and comparison with 11 publicly available methods. Sci. Rep. 6, 23470 (2016)
Cited by 9 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. A deep sift convolutional neural networks for total brain volume estimation from 3D ultrasound images;Computer Methods and Programs in Biomedicine;2023-12
2. StackFBAs: Detection of fetal brain abnormalities using CNN with stacking strategy from MRI images;Journal of King Saud University - Computer and Information Sciences;2023-09
3. Review on Ultrasound-Image Analysis of Fetus Using Deep Learning;2023 IEEE 8th International Conference for Convergence in Technology (I2CT);2023-04-07
4. A review on deep-learning algorithms for fetal ultrasound-image analysis;Medical Image Analysis;2023-01
5. Automated segmentation of fetal intracranial volume in 3D ultrasound using deep learning: identifying sex differences in prenatal brain development;2022-12-20
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