Automatic Detection of Wrist Fractures From Posteroanterior and Lateral Radiographs: A Deep Learning-Based Approach
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-11166-3_10
Reference30 articles.
1. Court-Brown, C., Caesar, B.: Epidemiology of adult fractures: a review. Injury 37(8), 691–697 (2006). https://doi.org/10.1016/j.injury.2006.04.130
2. Goldfarb, C., Yin, Y., Gilula, L., Fisher, A., Boyer, M.: Wrist fractures: what the clinician wants to know. Radiology 219(1), 11–28 (2001). https://doi.org/10.1148/radiology.219.1.r01ap1311
3. Guly, H.: Injuries initially misdiagnosed as sprained wrist (beware the sprained wrist). Emerg. Med. J. 19(1), 41–42 (2002). https://doi.org/10.1136/emj.19.1.41
4. Petinaux, B., Bhat, R., Boniface, K., Aristizabal, J.: Accuracy of radiographic readings in the emergency department. Am. J. Emerg. Med. 29(1), 18–25 (2011). https://doi.org/10.1016/j.ajem.2009.07.011
5. Lindner, C., Thiagarajah, S., Wilkinson, J., Wallis, G., Cootes, T., The arcOGEN Consortium: Fully automatic segmentation of the proximal femur using random forest regression voting. IEEE Trans. Med. Imaging 32(8), 1462–1472 (2013). https://doi.org/10.1109/TMI.2013.2258030
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. An Innovative Deep Learning Approach to Spinal Fracture Detection in CT Images;Annali Italiani di Chirurgia;2024-08-20
2. Artificial intelligence diagnostic accuracy in fracture detection from plain radiographs and comparing it with clinicians: a systematic review and meta-analysis;Clinical Radiology;2024-08
3. AI for detection, classification and prediction of loss of alignment of distal radius fractures; a systematic review;European Journal of Trauma and Emergency Surgery;2024-07-09
4. Diagnostic Performance of Artificial Intelligence for Detection of Scaphoid and Distal Radius Fractures: A Systematic Review;The Journal of Hand Surgery;2024-05
5. Skeletal Fragility Detection using Deep Learning;2024 International Conference on Inventive Computation Technologies (ICICT);2024-04-24
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