Deep Learning for Triage of Chest Radiographs: Should Every Institution Train Its Own System?
Author:
Affiliation:
1. From the Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Geert Grooteplein 10, 6525 GA Nijmegen, the Netherlands.
Publisher
Radiological Society of North America (RSNA)
Subject
Radiology Nuclear Medicine and imaging
Link
http://pubs.rsna.org/doi/pdf/10.1148/radiol.2018182318
Reference7 articles.
1. The Coding of Roentgen Images for Computer Analysis as Applied to Lung Cancer
2. A survey on deep learning in medical image analysis
3. Fifty years of computer analysis in chest imaging: rule-based, machine learning, deep learning
4. Assessment of Convolutional Neural Networks for Automated Classification of Chest Radiographs
5. Machine learning “red dot”: open-source, cloud, deep convolutional neural networks in chest radiograph binary normality classification
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. Automated pneumothorax triaging in chest X‐rays in the New Zealand population using deep‐learning algorithms;Journal of Medical Imaging and Radiation Oncology;2022-02-27
2. Awareness and Perception of Dentists Regarding Role and Future of Artificial Intelligence in Dentistry;Pakistan Journal of Medical and Health Sciences;2021-12-30
3. Barriers and Enablers for Artificial Intelligence in Dental Diagnostics: A Qualitative Study;Journal of Clinical Medicine;2021-04-10
4. Classifying Microscopic Acute and Old Myocardial Infarction Using Convolutional Neural Networks;American Journal of Forensic Medicine & Pathology;2021-04-08
5. Rethinking the Approach to Artificial Intelligence for Medical Image Analysis: The Case for Precision Diagnosis;Journal of the American College of Radiology;2021-01
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