Detecting and Classifying Fetal Brain Abnormalities Using Machine Learning Techniques-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Detecting and Classifying Fetal Brain Abnormalities Using Machine Learning Techniques

Published:2018-12 Issue: Volume: Page:
ISSN:
Container-title:2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA)
language:
Short-container-title:

Author:

Attallah Omneya,Gadelkarim Heba,Sharkas Maha A.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8613701/8614025/08614248.pdf?arnumber=8614248

Cited by 23 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 novel center-based deep contrastive metric learning method for the detection of polymicrogyria in pediatric brain MRI;Computerized Medical Imaging and Graphics;2024-06

2. Ultrasound imaging based recognition of prenatal anomalies: a systematic clinical engineering review;Progress in Biomedical Engineering;2024-04-01

3. An Examination of Methodological Approaches for Segmentating Fetal Brain MRI Images – Analysis;2024 International Conference on Trends in Quantum Computing and Emerging Business Technologies;2024-03-22

4. An Empirical and Statistical Analysis of Fetal Health Classification Using Different Machine Learning Algorithm;2024 4th International Conference on Data Engineering and Communication Systems (ICDECS);2024-03-22

5. Predictive Patient-Centric Healthcare;Advances in Electronic Government, Digital Divide, and Regional Development;2024-01-24

同舟云学术

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