Research ArticleOpen accessIn the abstractMiliary Tuberculosis: A Case ReportZhinous Bayat Makoo, Roshanak Bayat Makoo, Omid MashrabiProblem statement: During the last years it is more than evident that the prevalence of pulmonary and extrapulmonary Tuberculosis (TB), mainly in western European countries, has risen significantly. The aetiology of this phenomenon is multifactorial. Miliary tuberculosis is a form of tuberculosis that is characterized by millet-like seeding of TB bacilli in the lung, as evidenced on chest radiography. Approach: … …American Journal of Infectious Diseases, Vol. 6, Issue 4 · 31 Dec 2010 · 7,623 accessesView PDFCite
Research ArticleOpen accessIn the abstractCentral Nervous System Tuberculomas: A Review ArticleMutasem Abuhamed, Xiao Bo, Cai YanCentral Nervous System Tuberculomas (CNSTs), the most dangerous form of tubercolomas, remains a public health problem, particularly in the developing country. Central nervous system tuberculomas, either single or multiple, usually presents as a diagnostic challenge because it resembles many other infectious and non-infectious medical conditions, particularly in patients without constitutional symptoms or evidence of tuberculosis elsewhere in the body. Here … …American Journal of Infectious Diseases, Vol. 4, Issue 2 · 30 Jun 2008 · 7,484 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Relationship Between Location and Prognosis in Brain-Stem TumorsN. Fayed, P. J. Modrego, J. EirasThe objective of this study was to establish a correlation between histopathology and radiological characteristics as well as location of brain stem tumors. Results of therapy were also analysed in relation to the radiological characteristics. Forty four patients were evaluated from a clinical and neuroradiological viewpoint (CT and MRI). In 14 of them we ruled out a surgical therapy. However … …OnLine Journal of Biological Sciences, Vol. 7, Issue 2 · 31 Dec 2007 · 6,839 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Improved Implementation of Brain Tumor Detection Using Segmentation Based on Neuro Fuzzy TechniqueS. Murugavalli, V. RajamaniImplementation of a neuro-fuzzy segmentation process of the MRI data is presented in this study to detect various tissues like white matter, gray matter, csf and tumor. The advantage of hierarchical self organizing map and fuzzy c means algorithms are used to classify the image layer by layer. The lowest level weight vector is achieved by the abstraction level. We … …Journal of Computer Science, Vol. 3, Issue 11 · 30 Nov 2007 · 7,107 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
Research ArticleOpen accessAll words, across the recordImage-Based Alzheimer's Disease Detection Using Pretrained Convolutional Neural Network ModelsNasser AlsadhanAlzheimer's disease is an untreatable, progressive brain disorder that slowly robs people of their memory, thinking abilities, and ultimately their capacity to complete even the most basic tasks. Among older adults, it is the most frequent cause of dementia. Although there is presently no treatment for Alzheimer's disease, scientific trials are ongoing to discover drugs to combat the condition. Treatments … …Journal of Computer Science, Vol. 19, Issue 7 · 28 Jun 2023 · 5,909 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordBRAIN TUMOR CLASSIFICATION BASED ON CLUSTERED DISCRETE COSINE TRANSFORM IN COMPRESSED DOMAINV. Anitha, S. MurugavalliThis study presents a novel method to classify the brain tumors by means of efficient and integrated methods so as to increase the classification accuracy. In conventional systems, the problem being the same to extract the feature sets from the database and classify tumors based on the features sets. The main idea in plethora of earlier researches related to any … …Journal of Computer Science, Vol. 10, Issue 10 · 6 May 2014 · 7,532 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordFunctional 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