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36 articles for “X-ray Image Analysis”
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Digital Sampling and Testing of COVID-19 to Reduce Lab Procedures Further Decreasing Carbon Emission: Review
Abstract: The COVID-19 pandemic has caused a new virus known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that primarily infects the lungs and can lead to serious respiratory illnesses such as ARDS and pneumonia caused by coronavirus. Declared a pandemic by the World Health Organization (WHO), the disease belongs to the family of coronaviruses that can cause cold and flu, making it a highly contagious disease. Chest imaging tests such …
Published in Journal of Open Source Developments · Vol. 10, Issue 1, 2023 · pp. 19–25 Read article
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Detection of Pneumonia in COVID-19 Patients Using X-ray Images
Abstract: This study explores the use of chest X-ray image analysis and deep learning methods to identify pneumonia in COVID-19 patients. Due to the pandemic, Proper as well as immediate examination of COVID-19 is now essential for patient care and disease control. This study proposes a novel approach that uses convolutional neural networks (CNNs) to automatically predict pneumonia in COVID-19 patients using chest X-ray images. In this study, an X-ray of …
Published in International Journal of Radio Frequency Innovations · Vol. 1, Issue 1, 2023 · pp. 13–23 Read article
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Robust Fruit/Vegetable Quality Assessment Using Nondestructive Textural Distortion Analysis
Abstract: A nondestructive approach for fruit quality assessment is outlined in this paper. An x-ray based image analysis for the internal quality assessment is presented. The quality assessment with external inspection is constraint only to the shape ,color and texture, the quality analysis for the internal effects were not possible. The Nondestructive approach using an x-ray image of a testing sample is processed, where the textural spectral variation and pattern distortion …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 2, 2018 · pp. 38–47 Read article
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Comparative Analysis of Data Augmentation Techniques in CNN-based Classification of Atelectasis
Abstract: This research delves into the critical issue of atelectasis, its causes, and potential complications if left untreated. Leveraging deep learning algorithms, particularly convolutional neural networks (CNN), the paper explores their application in medical image analysis, focusing on the detection of atelectasis using the “chestX-ray8” database. The study compares various data augmentation techniques for improved accuracy, showcasing the importance of augmentation in enhancing model generalization. Through meticulous experimentation and evaluation, the …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 3, 2024 · pp. 1–8 Read article
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Fabrication and Characterization of Copper Nanowires: An Overview
Abstract: Copper (Cu) is one of the most important metals in modern electronic technology. Keeping in view its role in nanoelectronics, we have fabricated copper nanowires of diameters 100 and 200 nm using Anodic Alumina and polymer membranes as templates. Template-based growth of copper nanowires has been realized using conventional electro deposition technique in an electrochemical cell designed in our laboratory. Fabrication of copper nanowires is one of the most important …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 1, Issue 1, 2011 · pp. 1–16 Read article
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Modification of Ashaka and Tango Bentonites with Tetraphenyl Phosphonium and Hexadecyl Pyridinium Bromides for Possible Use in Polymer-Clay Nanocomposite Preparation
Abstract: Bentonites from Ashaka (GA) and Tango (GT) of Gombe State, Nigeria were surface modified with Tetraphenyl phosphonium (TPP) and Hexadecyl pyridinium bromides (HDP) by cation exchange method for their possible use in Clay/polymer nanocomposite preparation. The surfaces of the modified products were characterized by means of spectroscopic, diffraction and scanning methods [Fourier-transformed infrared spectroscopy (FTIR), X-ray diffraction (XRD) and scanning electron microscopy (SEM)]. The basal spacing of the unmodified bentonite …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 22, Issue 2, 2020 · pp. 15–22 Read article
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Advancements in AI-Driven Diagnostics for Dental Health: A Comprehensive Review
Abstract: Dental diseases, also known as oral diseases or dental conditions, encompass a range of health problems affecting the teeth, gums, mouth, and associated structures. These conditions can lead to pain, discomfort, and severe complications if left untreated. Early detection and accurate diagnosis are crucial for effective treatment and prevention of further complications. This comprehensive literature review aims to identify common dental problems such as Tooth Decay (Cavities), Gingivitis, Periodontitis, and …
Published in Current Trends in Signal Processing · Vol. 14, Issue 2, 2024 · pp. 1–7 Read article
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Analysis of Discrete Wavelet Transform for Denoising of Breast CT Image
Abstract: During acquisition of medical images noise gets induced in the digital image by various effects. The state of art devices used for capturing the images introduces complex type of addition noise in the images. No medical imaging devices are noise free. The most commonly used medical images are acquired from MRI (Magnetic Resonance Imaging), CT (Computed Tomography) and X-ray equipment’s. Additive noise into medical image decreases the visual quality that …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 7, Issue 1, 2018 · pp. 27–31 Read article
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Revolutionizing Petrology and Mineralogy: The Study of AI and Advanced Sensor Technologies
Abstract: Petrology and mineralogy are fundamental to understanding Earth's intricate processes, from crustal evolution to economic resource formation. However, traditional methods, while precise, are often laborious, time-consuming, and occasionally subject to interpretive bias. This abstract explores the transformative potential of integrating cutting-edge Artificial Intelligence (AI) and advanced sensor technologies to revolutionize data acquisition, analysis, and interpretation in these critical geosciences. Advanced sensor technologies, including high-resolution spectral imaging (hyperspectral, Raman), automated X-ray …
Published in International Journal of Minerals · Vol. 2, Issue 2, 2025 · pp. 1–11 Read article
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Tuning the physical properties of spray pyrolysed nanocrystalline CdO thin films by varying the substrate temperature
Abstract: Spray pyrolysis technique has been employed to deposit cadmium oxide (CdO) thin films on glass substrates preheated to different temperatures (250, 350, 400 and 500°C). Structural, morphological, optical and electrical characterization studies were performed on the films to study the behavior of the films. The thicknesses of the films prepared at different substrate temperatures vary from 497 to 465 nm. X-ray diffraction analysis reveals that the films are polycrystalline exhibiting …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 10, Issue 1, 2020 · pp. 31–41 Read article
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Study on CdS Nanoparticles and Nanocrystalline Thin Films Synthesized by Chemical Bath Deposition Technique
Abstract: Normal 0 false false false EN-US X-NONE X-NONE Cadmium Sulfide (CdS) nanoparticles and nanocrystalline thin films were synthesized by chemical bath deposition technique at room temperature. The elemental composition of the as-grown CdS nanoparticles and nanocrystalline thin films were determined by energy dispersive analysis of X-rays (EDAX). Crystallite size and lattice parameter were determined from X-ray diffractogram whereas transmission electron microscopy (TEM) image gave particle size and the selected area …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 1, Issue 3, 2011 · pp. 8–15 Read article
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Sonochemical Synthesis of SrBaFexMo2-xO6 (x=1.0, 1.1, 1.3 and 1.4) Double Perovskites: Characterization and Magnetic Properties
Abstract: This work investigates ultrasound assisted synthesis, characterization and magnetic properties of SrBaFexMo2-xO6 (x=1.0, 1.1, 1.3 and 1.4) double perovskites. X-ray diffraction (XRD) analysis confirmed proposed that samples are in single phase. It was found that lattice constants decrease with increase in composition x. Morphology of all samples was examined by Scanning Electron Microscopy (SEM) images. Energy Dispersive X-ray Spectroscopy (EDS) data confirmed purity and nonexistence of foreign elements in prepared …
Published in Research & Reviews : Journal of Physics · Vol. 7, Issue 2, 2018 · pp. 8–17 Read article
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Comparative Study on Methods for Teeth Image Recognition
Abstract: This article proposes a new method to find a specific tooth from the digital picture of multiple teeth. The modified methods can significantly simplify the pattern recognition process for teeth. Here we compared some of the popular recognition method like principal component analysis (PCA) and hybrid differential method (HDM). These methods are lot more simple, runs faster and the identification rate is better. These approaches will reduce the traditional reliance …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 3, 2014 · pp. 22–31 Read article
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Occupancy of Al 3+ /Cr 3+ ions at B-sites in Ni-Zn-Cu ferrite system synthesized by sol-gel auto-combustion method
Abstract: Ferrites find extensive application in traditional electronic, electrical, and magnetic equipment and systems.The ferrite materials substituted with different cations have become most important because of their both fundamental and technological application. In our current research, we investigate the impact of Al3+ and Cr3+ ions on the properties of nano- sized Ni0.7Zn0.2Cu0.1Fe2O4 ferrites created using the sol-gel auto-combustion process. We employ various analytical techniques, including XRD, SEM, FTIR, ESR, VSM, and …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 14, Issue 2, 2023 · pp. 47–52 Read article
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Comparative Analysis and Future Research Directions in AI in Healthcare: Medical Imaging and Diagnostics
Abstract: Artificial intelligence (AI) is reshaping healthcare, particularly in the areas of medical imaging and diagnostic practice. By using advanced techniques like machine learning and deep learning, AI systems help improve the accuracy, speed, and effectiveness of identifying diseases and analyzing medical images. This paper provides a comprehensive overview of the application of artificial intelligence in medical imaging and highlights its growing importance in clinical diagnostics. It discusses how AI-based systems …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 8–13 Read article
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Detection of Brain Tumor from MRI using MATLAB
Abstract: Brain Tumor is an abnormal growth of cells in the brain which can affect the functioning of the brain and at times can be fatal. The detection of brain tumor is challenging because of the complex structure of brain. This paper discusses about the detection of brain tumor using MATLAB through image processing. Magnetic Resonance Imaging (MRI) plays an important role in analysis, diagnosis and treatment planning of brain tumor. …
Published in Journal of Microelectronics and Solid State Devices · Vol. 4, Issue 1, 2017 · pp. 28–31 Read article
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Red emissive MSA capped CdTe quantum dots for cell imaging
Abstract: The changes in the optical and electronic properties of the materials due to the quantum confinement effect in semiconductor nanoparticles have attracted huge interest in the scientific community. Within the semiconductor nanoparticles, the quantum dots (QDs) deserve a special position due to their high quantum confinement effect and unique optoelectronic properties. Among the semiconductor quantum dots, CdTe attracts more attention due to its easy manufacturing, large Bohr exciton radius, and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 716–721 Read article
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Radiopaque Polymer Composites for Improved Visualization of Interventional Devices
Abstract: Radiopaque polymer composites are increasingly important for improving the visualization of interventional medical devices under X-ray and fluoroscopic imaging while maintaining the flexibility, mechanical performance, and processability required for minimally invasive applications. This narrative review summarizes recent developments in radiopaque polymer composites, with emphasis on radiopaque filler selection, polymer–filler interactions, processing strategies, structure–property relationships, biocompatibility, and device applications. A focused literature search was conducted using PubMed, Scopus, Web of Science, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Influence of Gd Doping in Structural, Morphological and Optical Properties of Zno Nanostructures Synthesised Via Sol-Gel Processes
Abstract: In this study, nanocrystalline Zn1-xGdx (x=0.0 and 0.03) samples were synthesised via the Sol-gel combustion process. An array of analytical techniques was employed to examine the prepared samples to determine their different physical features. For both pristine and Gd-doped samples, the crystal symmetry is hexagonal with the P63mc space group which is verified via the Rietveld refinement analysis of X-ray diffraction (XRD) data. The atoms' bond length Zn-O and bond …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 219–225 Read article
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Advances in Lung Cancer Detection and Diagnosis: An Integrative Approach Using Computational Chemistry, Statistics, Bioinformatics, Artificial Intelligence, and Machine Learning
Abstract: Lung cancer is still one of the most common and lethal cancers globally, accounting for more than a million deaths each year. Prompt detection is important, and imaging techniques like chest X-rays, MRIs, PETs, CTs, and molecular imaging have become important tools. But still, even though all these techniques do not provide an accurate classification of the lesion, they have led to the development of computer-based high-resolution image analysis. Computer …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article