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Research ArticleOpen accessIn the abstractFEATURE DIMENSION REDUCTION FOR EFFICIENT MEDICAL IMAGE RETRIEVAL SYSTEM USING UNIFIED FRAMEWORKYogapriya Jaganathan, Ila VennilaFeature dimensionality reduction problem is a major issue in Content Based Medical Image Retrieval (CBMIR) for the effective management of medical images with the support of visual features for the purpose of diagnosis and educational research field. The proposed CBMIR is used a unified approach based on extraction of visual features, optimized feature selection, classification of optimized features and similarity … …Journal of Computer Science, Vol. 9, Issue 11 · 24 Sep 2013 · 6,989 accessesView PDFCite
Research ArticleOpen accessIn the abstractU.S. Malpractice in Internal Medicine: Closed Claim Cases as Tools for Identification, Teaching and PreventionKimberly Ku, Theresa Vettese, Diane LevineMedical malpractice litigation as a system in the U.S. serves multiple goals, including the promotion of safer medicine and the compensation of wrongfully injured patients. However, these aims are often at odds with systems-oriented strategies needed to promote patient safety. Additionally, there is widespread doubt of the actual fairness and efficiency of malpractice litigation. Regardless of the details surrounding major … …Current Research in Medicine, Vol. 4, Issue 2 · 4 Sep 2013 · 6,991 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesign and Study of Online Fuzzy Risk Score Analyzer for Diabetes MellitusSunithaKarnam Anantha, Senthil Kumar Natarajan, Subransu Sekar DashThe aim of this study is to determine the risks of various subjects to type 2 Diabetes and its dependence on the different subject records. A Fuzzy based system was designed to find the risk scores for diabetes based on risk score derived from Chennai Urban Rural Epidemiology Study (CURES). The risk score that has been adapted into the system … …American Journal of Applied Sciences, Vol. 10, Issue 9 · 24 Aug 2013 · 6,384 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hybrid Approach Based Medical Image Retrieval System Using Feature Optimized Classification Similarity FrameworkYogapriya Jaganathan, Ila VennilaFor the past few years, massive upgradation is obtained in the pasture of Content Based Medical Image Retrieval (CBMIR) for effective utilization of medical images based on visual feature analysis for the purpose of diagnosis and educational research. The existing medical image retrieval systems are still not optimal to solve the feature dimensionality reduction problem which increases the computational complexity … …American Journal of Applied Sciences, Vol. 10, Issue 6 · 6 Jun 2013 · 7,029 accessesView PDFCite
Research ArticleOpen accessIn the abstractContent Based Image Retrieval of Ultrasound Liver Diseases Based on Hybrid ApproachR. Suganya, S. RajaramProblem statement: In the past few years, immense improvement was obtained in the field of Content-Based Image Retrieval (CBIR). Nevertheless, existing systems still fail when applied to medical image databases. Simple feature-extraction algorithms that operate on the entire image for characterization of color, texture, or shape cannot be related to the descriptive semantics of medical knowledge that is extracted from … …American Journal of Applied Sciences, Vol. 9, Issue 6 · 24 Mar 2012 · 7,648 accessesView PDFCite
Research ArticleOpen accessIn the abstractFPGA-Based Architecture for a Generalized Parallel 2-D MRI Filtering AlgorithmSami Hasan, Said Boussakta, Alex YakovlevProblem statement: Current Neuroimaging developments, in biological research and diagnostics, demand an edge-defined and noise-free MRI scans. Thus, this study presents a generalized parallel 2-D MRI filtering algorithm with their FPGA-based implementation in a single unified architecture. The parallel 2-D MRI filtering algorithms are Edge, Sobel X, Sobel Y, Sobel X-Y, Blur, Smooth, Sharpen, Gaussian and Beta (HYB). Then, the … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 4 · 20 Feb 2012 · 8,024 accessesView PDFCite
Research ArticleOpen accessIn the abstractWireless Body Area Sensor Networks Signal Processing and Communication Framework: Survey on Sensing, Communication Technologies, Delivery and FeedbackKhalid Abu Al-Saud, Massudi Mahmuddin, Amr MohamedProblem statement: The Wireless Body Area Sensor Networks (WBASNs) is a wireless network used for communication among sensor nodes operating on or inside the human body in order to monitor vital body parameters and movements. This study surveys the state-of-the-art on Wireless Body Area Networks, discussing the major components of research in this area including physiological sensing and preprocessing, WBASNs … …Journal of Computer Science, Vol. 8, Issue 1 · 1 Nov 2011 · 9,159 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproved Application of Paraconsistent Artificial Neural Networks in Diagnosis of Alzheimer's DiseaseHelder F.S. Lopes, Jair M. Abe, Paulo A.M. Kanda et al.Problem statement: The visual analysis of Electroencephalogram (EEG) activity has shown useful as a complementary tool in Alzheimer Disease (AD diagnosis) when the diagnosis remains uncertain, in addition to be used in some clinical protocols. However, this analysis is subject to the inherent equipment imprecision, biological artifact, electrical records, and subjective physician interpretation of the visual analysis variation. The Artificial … …Neuroscience International, Vol. 2, Issue 1 · 6 Oct 2011 · 12,068 accessesView PDFCite
Research ArticleOpen accessIn the abstractMyocardial Motion Analysis of Echocardiography Images using Optical Flow Radial Direction DistributionSlamet Riyadi, Mohd Marzuki Mustafa, Aini HussainProblem statement: Myocardial motion is important information for physicians in diagnosing cardiac abnormalities. The motion vector of myocardial can be computed using optical flow technique, which then can be further analyzed based on its magnitude and angle. In practice, physicians are not concern about the angle of vector itself, but are more interested on whether a segment is moving to … …Journal of Computer Science, Vol. 7, Issue 7 · 28 Jun 2011 · 6,637 accessesView PDFCite
Research ArticleOpen accessIn the abstractWhat Else do Epileptic Data RevealRamalingam ShanmugamProblem statement: Aggregating and analyzing data of all patients using statistical methodologies as often done in macro sense would be not useful when physician’s professional interest was only to provide the best medical care to the patient. For this purpose, individual data of the involved patient should be analyzed and modeled in a micro sense for the physician to notice … …Current Research in Medicine, Vol. 2, Issue 1 · 29 Mar 2011 · 7,303 accessesView PDFCite