A hybrid feature extraction technique for content based medical image retrieval using segmentation and clustering techniques
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-022-11901-8.pdf
Reference33 articles.
1. Agarwal S (2014) Content Based Image Retrieval using Color Edge Detection and Discrete Wavelet Transform
2. Agarwal S, Verma AK and Singh P (2013) Content Based Image Retrieval using Discrete Wavelet Transform and Edge Histogram Descriptor," 2013 IEEE International Conference on Information Systems and Computer Networks, Mathura, pp. 19–23.
3. Ahmed KT, Iqbal MA, Iqbal A (2018) Content based image retrieval using image features information fusion. Information Fusion 51:76–99
4. Alsmadi MK (2020) Content-based image retrieval using color, Shape and Texture Descriptors and Features. Arab J Sci Eng 45:3317–3330. https://doi.org/10.1007/s13369-020-04384-y
5. Anandh A, Mala K and Suganya S (2016) "Content based image retrieval system based on semantic information using color, texture and shape features," 2016 International Conference on Computing Technologies and Intelligent Data Engineering (ICCTIDE'16), pp. 1–8 https://doi.org/10.1109/ICCTIDE.2016.7725364.
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. Efficient artificial intelligence approaches for medical image processing in healthcare: comprehensive review, taxonomy, and analysis;Artificial Intelligence Review;2024-07-29
2. SODRet: Instance retrieval using salient object detection for self-service shopping;Machine Learning with Applications;2024-03
3. Retrieving images with missing regions by fusion of content and semantic features;Multimedia Tools and Applications;2024-02-10
4. Deep Learning-Enhanced Ultrasound Analysis: Classifying Breast Tumors using Segmentation and Feature Extraction;2024-02-09
5. Hybrid Technology for Multilevel Feature Extraction in CBMIR;2023 7th International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS);2023-11-02
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