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177 articles for “CT Imaging”
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Research ArticleOpen accessEvery word in the titleRoughness Effect on an Unsteady Flow in Pipelines by Profilometry and Imaging TechniquesMabrouk Benkhedimallah, Rabah Zegadi, Mohamed BouafiaProblem statement: Currently the aero dynamical calculation in gas pipes is carried out under the assumption of steady state conditions. However real steady in a network is scarcely quasisteady. Approach: The unsteady state is governed by non-linear partial differential equations leading to mathematical difficulties. And there are fore gas pipe dimensions are computed at steady state under extreme conditions. Results: … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 1 · 29 Jan 2011 · 8,152 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEnhancing Plant Disease Identification Through Hyperspectral Imaging and AC-FNet FrameworkDhason Lita Pansy, Malaichamy MuraliThe precise identification of plant diseases is essential for optimizing agricultural practices. The impact of these diseases on food production often leads to significant revenue loss. Detecting diseases that primarily manifest symptoms in plant leaves has conventionally depended on visual inspection by plant pathologists. However, modern methodologies use machine learning and computer vision techniques to facilitate disease identification, thus addressing … …Journal of Computer Science, Vol. 21, Issue 5 · 21 May 2025 · 8,568 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleThe Impact of XRF-Escape on Energy Resolution of NaI: Tl Scintillation Detectors for Medical Imaging or Gamma-Ray SpectroscopyRaffaele Scafè, Marco Puccini, Rosanna Pellegrini, Roberto PaniThe effect of escape of X-ray fluorescence from scintillator elemental components on the detector energy resolution is investigated from a spectroscopic standpoint, for monolithic and pixelated crystals. Along with these, any other emissions in a given region of interest were also considered. In present spectral evaluations a range of ratios between the areas of the peaks (XRFesc) to (XRFesc + … …American Journal of Applied Sciences, Vol. 21, Issue 1 · 10 Jul 2024 · 5,024 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleUltrasound Imaging of the Testes and Accessory Sex Glands in Male Goat Treated with GnRH During Non-Breeding SeasonHamed T. Elbaz, Emad M. Abdel Razek, Ahmed DawodThe aim of the present study was to determine the effect of GnRH on the measurements of testes, accessory sex glands and testosterone hormonal concentrations during the non-breeding season. Eight mature healthy Egyptian Baladi male goat injected with Buserelin acetate (GnRH analogue) 8μg once weekly for one month. Ultrasonographic measurements of the scrotum and its contents and all accessory sex … …American Journal of Animal and Veterinary Sciences, Vol. 14, Issue 2 · 15 Apr 2019 · 7,838 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleIndividual Species Crown Mapping in Taman Rimba Ilmu, University Malaya Using Airborne Hyperspectral ImagingKamaruzaman JusoffProblem statement: Accurate, current and cost-effective individual standing tree data are required by forest management communities for use in forest inventory over large areas. Currently, most of the forest mapping process is done directly on the ground using many technique such as the bearing-distance and also the other technique that use the computer software as a support, such as Tree … …American Journal of Applied Sciences, Vol. 7, Issue 4 · 30 Apr 2010 · 7,816 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleContribution of the Entropy Function to the Study of Collimator for Nuclear Medicine ImagingM.S. Bouhdima, I. Elloumi, M.H.B. GhozlenScintigraphic image currently used in the diagnosis or the evaluation process of tissues, is strongly dependant on several technical parameters specially collimator characteristics. The present work describes a numerical method, based on entropy function, able to specify depth and hole diameter of collimator as well as other geometrical parameters to get a better accuracy in scintigraphy evaluation. From the classical … …American Journal of Applied Sciences, Vol. 4, Issue 10 · 31 Oct 2007 · 6,737 accessesView PDFCite
Research ArticleOpen accessIn the keywordsRIA-ViT: A Residual Inception Atrous Vision Transformer for Detection of Gallbladder Cancer from CT ImagesAbhishek Sehrawat, Anita Gupta, Vishnupriya, Varun P. GopiGallbladder Cancer (GBC) is a rare but highly aggressive malignancy of the biliary system. In early-stage gallbladder cancer, there are neither overt symptoms nor specific signs. In most patients, it is diagnosed late, resulting in poor outcomes. Even when imaging is available, diagnosing GBC remains difficult because its features overlap with those of non-neoplastic gallbladder pathologies. Furthermore, the overlap between … …Journal of Computer Science, Vol. 22, Issue 10 · 6 Oct 2026 · 413 accessesView PDFCite
Research ArticleOpen accessIn the keywordsUMPM-Net: A Multimodal Deep Learning Framework for Colorectal Cancer PrognosisK. Muthuchamy, S K. Piramu PreethikaColorectal cancer (CRC) is one of the most common cancers worldwide, for which early prediction of patient outcomes is important for personalised treatment planning and to improve survival. However, current prediction systems are limited in the fact that they are based on single-modality data and cannot capture the complex interactions between clinical, imaging, and genomic factors. To overcome these shortcomings, … …Journal of Computer Science, Vol. 22, Issue 9 · 20 Sep 2026 · 613 accessesView PDFCite
Research ArticleOpen accessIn the keywordsExplainable MedAttn-ResNet50 for Automated Kidney Tumor Classification from CT Images With Grad-CAM VisualizationD. Vetrithangam, Pramod Kumar, Shilpasree S. et al.Kidney tumor classification from CT imaging remains challenging due to CT-specific intensity variations, tumor heterogeneity, and limited clinically meaningful interpretability in existing deep learning models. To address these limitations, we propose an Explainable MedAttn-ResNet50 framework that integrates radiology-driven preprocessing, multi-scale feature extraction, and medical attention mechanisms within a unified architecture. The preprocessing pipeline applies radiology-inspired intensity normalization, contrast enhancement, and … …Journal of Computer Science, Vol. 22, Issue 8 · 13 Aug 2026 · 1,120 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMRI Observation and Analysis of Muscle Activity During ExerciseLi-Chang Zou, Hong-Wu LiWhile conventional biomechanical testing techniques are able to determine the mechanical characteristics of muscle tissue, they do not offer precise insight into how muscle metabolism and microstructure change in response to various types of exercise activities over the course of time. Using Magnetic Resonance Imaging (MRI) analysis of muscle tissue allows researchers to examine how different levels of intensity affect … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 3 · 30 Jul 2026 · 1,025 accessesView PDFCite