Erythrocyte shape classification using integral-geometry-based methods
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Biomedical Engineering
Link
http://link.springer.com/content/pdf/10.1007/s11517-015-1267-x.pdf
Reference42 articles.
1. Altman F (1994) Practical statistics for medical research. Chapman Hall, London
2. Al Zahir S, Donker H (2010) A novel regression based model for detecting anemia using color microscopic blood images. J Soft Eng Appl 3:756–761
3. Apostolopoulos G, Tsinopoulos S, Dermatas E (2010) Recognition and identification of red blood cell size using angular radial transform and neural networks. In: XII mediterranean conference on medical and biological engineering and computing 2010. Springer, Berlin, Heidelberg, pp 707–710
4. Asakura T, Hirota T, Nelson AT, Reilly MP, Ohene-Frempong K (1996) Percentage of reversibly and irreversibly sickled cells are altered by the method of blood drawing and storage conditions. J Blood Cells Mol Dis 22(3):297–306
5. Bacus JW (1984) Quantitative red cell morphology. Monogr Clin Cytol 9:1–27
Cited by 19 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 Comprehensive Review on Detection of Dacrocytes from Blood Smear Images using ML Algorithms;2023 6th International Conference on Recent Trends in Advance Computing (ICRTAC);2023-12-14
2. RedTell: an AI tool for interpretable analysis of red blood cell morphology;Frontiers in Physiology;2023-05-26
3. HPKNN: Hyper‐parameter optimized KNN classifier for classification of poikilocytosis;International Journal of Imaging Systems and Technology;2023-01-10
4. A review of sickle cells classification system based on microscopic images;INTELLIGENT BIOTECHNOLOGIES OF NATURAL AND SYNTHETIC BIOLOGICALLY ACTIVE SUBSTANCES: XIV Narochanskie Readings;2023
5. Analysis of red blood cells from peripheral blood smear images for anemia detection: a methodological review;Medical & Biological Engineering & Computing;2022-07-15
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