Automated semantic labeling of pediatric musculoskeletal radiographs using deep learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Radiology Nuclear Medicine and imaging,Pediatrics, Perinatology, and Child Health
Link
http://link.springer.com/content/pdf/10.1007/s00247-019-04408-2.pdf
Reference8 articles.
1. Rajkomar A, Lingam S, Taylor AG et al (2017) High-throughput classification of radiographs using deep convolutional neural networks. J Digit Imaging 30:95–101
2. Lakhani P (2017) Deep convolutional neural networks for endotracheal tube position and X-ray image classification: challenges and opportunities. J Digit Imaging 30:460–468
3. Lakhani P, Sundaram B (2017) Deep learning at chest radiography: automated classification of pulmonary tuberculosis by using convolutional neural networks. Radiology 284:574–582
4. LeCun Y, Bengio Y, Hinton G (2015) Deep learning. Nature 521:436–444
5. Cheng PM, Malhi HS (2017) Transfer learning with convolutional neural networks for classification of abdominal ultrasound images. J Digit Imaging 30:234–243
Cited by 34 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. Tackling the small data problem in medical image classification with artificial intelligence: a systematic review;Progress in Biomedical Engineering;2024-06-17
2. Deep-learning for automated detection of MSU deposits on DECT: evaluating impact on efficiency and reader confidence;Frontiers in Radiology;2024-02-19
3. AI applications in musculoskeletal imaging: a narrative review;European Radiology Experimental;2024-02-15
4. A deep learning approach for projection and body-side classification in musculoskeletal radiographs;European Radiology Experimental;2024-02-14
5. Medical image identification methods: A review;Computers in Biology and Medicine;2024-02
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