Literature ReviewOpen accessIn the abstractA Comprehensive Survey on Tools for Effective Alzheimer’s Disease DetectionN. Vinutha, G. U. Vasanthakumar, P. Deepa Shenoy, K. R. VenugopalNeuroimaging is considered as a valuable technique to study the structure and function of the human brain. Rapid advancement in medical imaging technologies has contributed significantly towards the development of neuroimaging tools. These tools focus on extracting and enhancing the relevant information from brain images, which facilitates neuroimaging experts to make better and quick decision for diagnosing enormous number of … …Neuroscience International, Vol. 9, Issue 1 · 4 Oct 2017 · 10,232 accessesView PDFCite
EditorialOpen accessIn the abstractBig Data and Parkinson’s Disease - from Understanding of Disease to Personalised MedicineYen F. Tai, Nicola PaveseThe advancement of information technology in recent years has generated a huge amount of datasets in all areas of scientific research. This has led to new opportunities to harness the 'Big Data' to improve our understanding of diseases - from investigating disease mechanisms to monitoring treatment responses. The Big Data approach is a data-driven and often hypothesis-free, way of studying … …Neuroscience International, Vol. 7, Issue 1 · 27 Jul 2016 · 7,755 accessesView PDFCite
Review ArticleOpen accessIn the abstractLivestock Hydatid Disease (Cystic Hydatidosis) in Libya: A ReviewMohamed M. Ibrahem, Wafa M. Ibrahem, Mostafa M. Abdorrahem, Kawther M. IbrahemCystic hydatid disease is an infection caused by the larval stage of a cestode parasite called Echinococcus granulosus. Hydatid cysts are one of the major parasitic infections in Libya that causes many health problems to human and responsible for economic losses because of the condemnation of the slaughtered animals infected viscera as well as reducing the quality and quantity of … …American Journal of Animal and Veterinary Sciences, Vol. 11, Issue 2 · 31 May 2016 · 8,472 accessesView PDFCite
EditorialOpen accessIn the abstractNanotechnology: Engineering Materials for a Better 21st CenturyMeng Qiao, Xiyun Liu, Lei ZhangToday, we are living in the midst of a technological revolution, where nanotechnology is demonstrating a greater commitment to make people’s everyday lives better. The aim of nanotechnology is to create new materials with desired properties by engineering their nanoscale structures and components. One of the most important impacts of nanotechnology is in medical diagnosis and treatment. Cardiovascular diseases such … …Current Research in Nanotechnology, Vol. 5, Issue 1 · 26 Nov 2014 · 8,737 accessesView PDFCite
Research ArticleOpen accessIn the abstractA HYBRID FIREFLY ALGORITHM WITH FUZZY-C MEAN ALGORITHM FOR MRI BRAIN SEGMENTATIONMutasem K. AlsmadiImage processing is one of the essential tasks to extract suspicious region and robust features from the Magnetic Resonance Imaging (MRI). A numbers of the segmentation algorithms were developed in order to satisfy and increasing the accuracy of brain tumor detection. In the medical image processing brain image segmentation is considered as a complex and challenging part. Fuzzy c-means is … …American Journal of Applied Sciences, Vol. 11, Issue 9 · 10 Sep 2014 · 8,074 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 · 8,021 accessesView PDFCite
Research ArticleOpen accessIn the abstractFunctional Neuroimaging in Dementia and other Amnesic Disorders: A Radiological ReviewLeonardo Caixeta, Renata Teles Vieira, Sergio Machado et al.Problem statement: The structural and functional neuroimaging have much to contribute to the cognitive neuroscience. Approach: We describe a radiological review of the major dementia syndromes and Mild Cognitive Impairment (MCI), included Alzheimer's disease, Lewy body dementia, Vascular dementia, Front temporal Lobar degeneration, Dementia associated with parkinsonism and other amnesic syndromes. Results: The different syndromes and diseases presenting with dementia … …Neuroscience International, Vol. 2, Issue 1 · 23 Nov 2011 · 7,495 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffects of Repetitive Transcranial Magnetic Stimulation on Dystonia: An OverviewSergio Machado, Oscar Arias-Carrion, Flávia Paes et al.Problem statement: Repetitive Transcranial Magnetic Stimulation (rTMS) is a noninvasive procedure whereby a pulsed magnetic field stimulates electrical activity in the brain. Dystonia is characterized by several disabling symptoms for which effective, mechanism-based treatments remain elusive. Approach: Consequently, more advanced non-invasive therapeutic methods were required. A possible method to modulate brain activity and potentially viable for use in clinical practice … …Neuroscience International, Vol. 2, Issue 1 · 29 Jul 2011 · 10,029 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordUsing Deep Learning to Support Clinical Decision-Making: The Case of Alzheimer’s Disease DiagnosisNawal Mohamed Bahy Eldin, Ghada A. El Khayat, Abeer A. AmerAlzheimer’s disease is a chronic, progressive brain disorder that leads to a gradual decline in memory and cognitive functions. In this study, N-VGG16, an advanced deep learning model, is proposed. The model builds upon the VGG16 architecture, incorporating key enhancements to improve its ability to classify neurodegenerative conditions. The model processes structural neuroimaging data using a refined pipeline that applies … …Journal of Computer Science, Vol. 21, Issue 10 · 11 Dec 2025 · 3,383 accessesView PDFCite