An intelligent content-based image retrieval system for clinical decision support in brain tumor diagnosis

Author:

Arakeri Megha P.,Ram Mohana Reddy G.

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Media Technology,Information Systems

Reference52 articles.

1. World Health Organization Cancer Fact Sheets. Available[online]: http://www.who.int/mediacentre/factsheets/fs297/en/index.html

2. Stoitsis J, Valavanis I, Mougiakakou SG, Golemati S, Nikita A, Nikita KS (2006) Computer aided diagnosis based on medical image processing and artificial intelligence methods. Nucl Instrum Methods Phys Res 569(2):591–595

3. Yuan K, Feng S, Chen W, Jia S, Xiao P (2008) Diagnosis system of computer aided brain MRI using content based image retrieval. In: Proceedings of international conference on information technology and application in biomedicine, IEEE, pp 152–156

4. Quellec G, Lambard M, Cazuguel G, Roux C, Cochener B (2011) Case retrieval in medical databases by fusing heterogeneous information. IEEE Trans Med Imaging 30(1):108–118

5. Agarwal P, Sardana HK, Jindal G (2009) Content based medical image retrieval: theory, gaps and future directions. Graphics Vis Image Process 9(2):27–37

Cited by 13 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. Content-based image retrieval for medical diagnosis using fuzzy clustering and deep learning;Biomedical Signal Processing and Control;2024-02

2. Computed Tomography Liver Tumor Image Classification Using Hybrid Feature Extraction and Classification Techniques;2023 International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS);2023-10-27

3. A Review on Content Based Image Retrieval Techniques;2023 International Conference on Circuit Power and Computing Technologies (ICCPCT);2023-08-10

4. Loc-VAE: Learning Structurally Localized Representation from 3D Brain MR Images for Content-Based Image Retrieval;2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC);2022-10-09

5. A computer-aided brain tumor diagnosis by adaptive fuzzy active contour fusion model and deep fuzzy classifier;Multimedia Tools and Applications;2022-03-23

同舟云学术

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