The RSNA Pediatric Bone Age Machine Learning Challenge
Author:
Funder
National Institute for Health Research
Publisher
Radiological Society of North America (RSNA)
Subject
Radiology Nuclear Medicine and imaging
Link
http://pubs.rsna.org/doi/pdf/10.1148/radiol.2018180736
Reference7 articles.
1. Performance of a Deep-Learning Neural Network Model in Assessing Skeletal Maturity on Pediatric Hand Radiographs
2. Greulich WW, Pyle SI. Radiographic atlas of skeletal development of the hand and wrist. Stanford, Calif: Stanford University Press, 1999.
3. Fully Automated Deep Learning System for Bone Age Assessment
4. Computerized Bone Age Estimation Using Deep Learning Based Program: Evaluation of the Accuracy and Efficiency
5. MABAL: a Novel Deep-Learning Architecture for Machine-Assisted Bone Age Labeling
Cited by 302 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. The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data;Medical Image Analysis;2024-10
2. Comprehensive review of deep learning in orthopaedics: Applications, challenges, trustworthiness, and fusion;Artificial Intelligence in Medicine;2024-09
3. MTPret: Improving X-Ray Image Analytics With Multitask Pretraining;IEEE Transactions on Artificial Intelligence;2024-09
4. Performance of two different artificial intelligence (AI) methods for assessing carpal bone age compared to the standard Greulich and Pyle method;La radiologia medica;2024-08-20
5. Applications of Artificial Intelligence for Pediatric Cancer Imaging;American Journal of Roentgenology;2024-08
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