维普期刊资源整合服务平台（V6.5）

维普中文期刊产品整合服务

10篇 您的检索式：作者名="Renukadevi"

选中清除导出查看参考文献查看引证文献引用追踪共1页首页上一页第1页下一页末页 /1 跳转

		题名	作者	年代	出处	被引量
	1	Role of organic additives on zinc plating显示文摘	Kavitha B Santhosh P Renukadevi M		0，，6：	1
	2	Role of organic additives on zinc plating显示文摘	B. Kavitha P. Santhosh M. Renukadevi A. Kalpana P. Shakkthivel T. Vasudevan	2006	Surface & Coatings Technology2006，，6：	1
	3	Role of Or- ganic Additives on Zinc Plating 显示文摘	KAVITHA B SANTHOSH P RENUKADEVI M	2006	Surface and Coatings Technology2006，201，：	1
	4	Role of organic additives on zinc plating显示文摘	Kavitha B Santhosh P Renukadevi M	2006	Surface & Coatings Technology2006，201，：	1
	5	Field programmable gate array implementation of space-vector pulse-width modulation technique for five-phase voltage source inverter显示文摘	Renukadevi G Rajambal K	2014	IET Power Electronics2014，7，2：	1
	6	Role of or- ganic additives on zinc plating 显示文摘	Kavitha B Santhosh P Renukadevi M	2006	Surface & CoatingsTechnology2006，201，：	1
	7	Role of organic additives on zinc plating显示文摘	Kavitha B Santhosh P Renukadevi M		0，，：	1
	8	Comparison of diode laser-assisted surgery and conventional surgery in the management of hereditary ankyloglossia in siblings:a case report with scientific review显示文摘	Elanchezhiyan S Renukadevi R Vennila K	2013	Lasers Med Sci2013，28，1：	1
	9	Comparison of di- ode laser-assisted surgery and conventional surgery in the man- agement of hereditary ankyloglossia in siblings: a case report with scientific review 显示文摘	Elanchezhiyan S Renukadevi R Vennila K	2013	Lasers Med Sci2013，28，1：	1
	10	Brain Image Classification Using Time Frequency Extraction with Histogram Intensity Similarity显示文摘Brain medical image classification is an essential procedure in Computer-Aided Diagnosis(CAD)systems.Conventional methods depend specifically on the local or global features.Several fusion methods have also been developed,most of which are problem-distinct and have shown to be highly favorable in medical images.However,intensity-specific images are not extracted.The recent deep learning methods ensure an efficient means to design an end-to-end model that produces final classification accuracy with brain medical images,compromising normalization.To solve these classification problems,in this paper,Histogram and Time-frequency Differential Deep(HTF-DD)method for medical image classification using Brain Magnetic Resonance Image(MRI)is presented.The construction of the proposed method involves the following steps.First,a deep Convolutional Neural Network(CNN)is trained as a pooled feature mapping in a supervised manner and the result that it obtains are standardized intensified pre-processed features for extraction.Second,a set of time-frequency features are extracted based on time signal and frequency signal of medical images to obtain time-frequency maps.Finally,an efficient model that is based on Differential Deep Learning is designed for obtaining different classes.The proposed model is evaluated using National Biomedical Imaging Archive(NBIA)images and validation of computational time,computational overhead and classification accuracy for varied Brain MRI has been done.	Thangavel Renukadevi Kuppusamy Saraswathi P.Prabu K.Venkatachalam	2022	Computer Systems Science & Engineering2022，41，5：	0

返回顶部每页显示：

共1页首页上一页第1页下一页末页 /1 跳转

goolge学术搜索-维普

网站首页 | 关于我们 | 联系我们 | 产品服务 | 客服中心 | 广告服务 | 版权声明 | 网站联盟 | 友情链接 | 售卡网点

版权所有© 渝B2-20050021-1　渝公网安备 50019002500403号　违法和不良信息举报中心

互联网出版许可证新出网证(渝)字10号全国400电话 - 免长途话费