OSCARS: An Outlier-Sensitive Content-Based Radiography Retrieval System
Author:
Affiliation:
1. Emory University, Atlanta, GA, USA
2. University of Southern California, Los Angeles, CA, USA
3. Indiana University-Purdue University Indianapolis, Indianapolis, IN, USA
4. Arizona State University, Phoenix, AZ, USA
Funder
US National Science Foundation
National Institute of Biomedical Imaging and Bioengineering
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3512527.3531425
Reference26 articles.
1. Content-Based Image Retrieval in Radiology: Current Status and Future Directions
2. Yaron Anavi Ilya Kogan Elad Gelbart Ofer Geva and Hayit Greenspan. 2015. A comparative study for chest radiograph image retrieval using binary texture and deep learning classification. In 2015 37th annual international conference of the IEEE engineering in medicine and biology society (EMBC). IEEE 2940--2943. Yaron Anavi Ilya Kogan Elad Gelbart Ofer Geva and Hayit Greenspan. 2015. A comparative study for chest radiograph image retrieval using binary texture and deep learning classification. In 2015 37th annual international conference of the IEEE engineering in medicine and biology society (EMBC). IEEE 2940--2943.
3. Deep Metric Learning to Rank
4. Wei Chen , Yu Liu , Weiping Wang , Erwin Bakker , Theodoros Georgiou , Paul Fieguth , Li Liu , and Michael S . Lew . 2022 . Deep Learning for Instance Retrieval: A Survey . arXiv:2101.11282 [cs.CV] Wei Chen, Yu Liu, Weiping Wang, Erwin Bakker, Theodoros Georgiou, Paul Fieguth, Li Liu, and Michael S. Lew. 2022. Deep Learning for Instance Retrieval: A Survey. arXiv:2101.11282 [cs.CV]
5. An efficient radiographic Image Retrieval system using Convolutional Neural Network
Cited by 1 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 Comparative Study of Trading Mechanisms in China’s Reserve Auxiliary Services Market;Lecture Notes in Electrical Engineering;2024
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