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177 articles for “CT Imaging”
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Research ArticleOpen accessIn the keywordsDenoising Methods for MRI ImagerySamuel KozaitisThere are several new denoising algorithms that may be useful for magnetic resonance imaging. We compared the performance of some of the latest denoising algorithms with those that have been developed specifically for MRI imagery. We found that the latest approaches show impressive performance in terms of mean squared error, but a measure based on perceptual quality may be needed … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 3 · 30 Aug 2017 · 7,482 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Quantum Mechanical Study of Structural and Electronic Dilution Effects in Paramagnetic Chemical Exchange Saturation Transfer AgentsWhelton A. Miller III, Preston B. MooreWe present a computational study of the effect of chemical modifications of the meta and para substituents in the coordinating pendant arm of a modified 1,4,7,10-tetraazacyclododecane-N, N’, N’’, N’’’-tetraamide (DOTAM) ligand on the Chemical Exchange Saturation Transfer (CEST) signal. Magnetic Resonance Imaging (MRI) is currently one of the most widely used techniques available. MRI has led to a new class … …Journal of Organic and Biomolecular Simulations, Vol. 1, Issue 1 · 11 Dec 2013 · 28,373 accessesView PDFCite
Research ArticleOpen accessIn the keywordsRecent Clinical Advancement of the Effects of Parathyroid Analogues on Fracture Healing in Humans: A Review of LiteratureWen Wei Gerard Ee, Wen Liang Joel Lau, Harish Sivasubramanian, Diarmuid MurphyProblem statement: Numerous animal studies have shown that administration of Parathyroid Hormone (PTH) or a related analogue promotes callus formation and bone union. However, there has yet to be sufficient evidence in human subjects to justify the use of PTH or related analogues in promoting fracture healing. The purpose of this paper is to (1) review all literature involving the … …Current Research in Medicine, Vol. 3, Issue 2 · 27 Aug 2012 · 7,344 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMedical Image Compression with Lossless Region of Interest Using Adaptive Active ContourR. Loganathan, Y. S. KumaraswamyProblem statement: With increasing bandwidth, digital medical image storage and transmission is a boon to patients and health professionals alike. Medical images are available instantly and avoid the need to carry the data physically. Popular imaging techniques extensively used in medicine include X-Ray, Magnetic Resonance Imaging (MRI), Ultrasound and Computed Tomography (CT). The images produced from the above techniques can … …Journal of Computer Science, Vol. 8, Issue 5 · 1 Mar 2012 · 7,727 accessesView PDFCite
Research ArticleOpen accessIn the keywordsFunctional 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 · 7,501 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEfficient Face Recognition in Video by Bit Planes SlicingM. Jasmine Pemeena Priyadarsini, K. Murugesan, Srinivasa Rao Inbathini, Visal KumarProblem statement: Video-based face recognition must be able to overcome the imaging interference such as pose and illumination. Approach: A model is designed to study for face recognition based on video sequence and also test image. In training stage, single frontal image is taken as a input to the recognition system. A new virtual image is generated using bit plane … …Journal of Computer Science, Vol. 8, Issue 1 · 26 Oct 2011 · 7,426 accessesView PDFCite
Research ArticleOpen accessIn the keywordsFeatures in Tubercular Meningoencephalitis Diagnosis: 18 Childhood CasesP. Di Carlo, D. Cabibi, A. Casuccio et al.The aim of this research is to illustrate clinical and instrumental features of central nervous system tuberculosis (CNS-TB) in childhood in order to allow prompt diagnosis and adequate patient management. TB remains one of the most important communicable diseases and represents a major global health problem. Although pulmonary TB tends to be the most common form of the disease, the … …American Journal of Infectious Diseases, Vol. 4, Issue 3 · 30 Sep 2008 · 6,793 accessesView PDFCite
Review ArticleOpen accessIn the keywordsDeep Learning in Early Alzheimer’s Disease’s Detection: A Comprehensive Survey of Classification, Segmentation and Feature Extraction MethodsRubab Hafeez, Sadia Waheed, Syeda Aleena Naqvi et al.Alzheimer’s disease is a deadly neurological condition, impairing important memory and brain functions. Alzheimer’s disease promotes brain shrinkage, ultimately leading to dementia. Dementia diagnosis typically takes 2.8-4.4 years after the first clinical indication. Advancements in computing and information technology have led to many techniques for studying Alzheimer's disease. Early identification and therapy are crucial for preventing Alzheimer's disease, as early-onset … …Journal of Computer Science, Vol. 21, Issue 5 · 26 Apr 2025 · 5,774 accessesView PDFCite
Research ArticleOpen accessIn the keywordsChronic Lung Disease Identification in Chest CT Scans Through Hybrid Deep Transfer Learning FrameworkGarima Jain, Amit Kumar Goel, Rahul KumarAccurate and timely diagnosis is essential for successful treatment of chronic pulmonary conditions, particularly lung tumours. To capture more complicated pathological characteristics, diagnostic algorithms based on current data sets are restricted to using older databases and single branch systems. This research introduces a new solution: A hybrid deep learning model applied to a recently released quantitative database of CT scans … …Journal of Computer Science, Vol. 22, Issue 8 · 9 Sep 2026 · 657 accessesView PDFCite
Research ArticleOpen accessIn the keywordsHybrid CNN-Based Transformer Pipeline With Radiomic Fusion for Multi-Class Lung Cancer DetectionAanchal Vij, Kuldeep Singh Kaswan, Anand NayyarEarly detection of lung cancer remains challenging due to high intra-class variation and inter-class similarity in Computed Tomography (CT) images. In this paper, we propose a hybrid deep learning model that combines convolutional, attention-based, and transformer-guided representations to address these challenges in multi-class lung cancer classification. For deep feature extraction, we use the EfficientNetV2-S architecture augmented with a Convolutional Block … …Journal of Computer Science, Vol. 22, Issue 6 · 3 Jun 2026 · 1,537 accessesView PDFCite