Fayez Alfayez^*

CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 1539-1560, 2024, DOI:10.32604/cmc.2024.046443 - 25 April 2024

Abstract This paper emphasizes a faster digital processing time while presenting an accurate method for identifying spine fractures in X-ray pictures. The study focuses on efficiency by utilizing many methods that include picture segmentation, feature reduction, and image classification. Two important elements are investigated to reduce the classification time: Using feature reduction software and leveraging the capabilities of sophisticated digital processing hardware. The researchers use different algorithms for picture enhancement, including the Wiener and Kalman filters, and they look into two background correction techniques. The article presents a technique for extracting textural features and evaluates three… More >

Xuelong Wu¹, Junsheng Wang^1,*, Zhongyao Li¹, Yisheng Miao¹, Chengpeng Xue¹, Yuling Lang², Decai Kong², Xiaoying Ma², Haibao Qiao²

CMC-Computers, Materials & Continua, Vol.78, No.3, pp. 3703-3720, 2024, DOI:10.32604/cmc.2024.047027 - 26 March 2024

Abstract X-ray Computed Tomography (XCT) enables non-destructive acquisition of the internal structure of materials, and image segmentation plays a crucial role in analyzing material XCT images. This paper proposes an image segmentation method based on the Segment Anything model (SAM). We constructed a dataset of carbide in nickel-based single crystal superalloys XCT images and preprocessed the images using median filtering, histogram equalization, and gamma correction. Subsequently, SAM was fine-tuned to adapt to the task of material XCT image segmentation, resulting in Material-SAM. We compared the performance of threshold segmentation, SAM, U-Net model, and Material-SAM. Our method More >

Nasser Alalwan^1,*, Ahmed I. Taloba², Amr Abozeid³, Ahmed Ibrahim Alzahrani¹, Ali H. Al-Bayatti⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.3, pp. 2497-2517, 2024, DOI:10.32604/cmes.2023.029910 - 15 December 2023

Abstract An illness known as pneumonia causes inflammation in the lungs. Since there is so much information available from various X-ray images, diagnosing pneumonia has typically proven challenging. To improve image quality and speed up the diagnosis of pneumonia, numerous approaches have been devised. To date, several methods have been employed to identify pneumonia. The Convolutional Neural Network (CNN) has achieved outstanding success in identifying and diagnosing diseases in the fields of medicine and radiology. However, these methods are complex, inefficient, and imprecise to analyze a big number of datasets. In this paper, a new hybrid… More >

Shaik Mahaboob Basha^1,*, Victor Hugo C. de Albuquerque², Samia Allaoua Chelloug^3,*, Mohamed Abd Elaziz^4,5,6,7, Shaik Hashmitha Mohisin⁸, Suhail Parvaze Pathan⁹

CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.2, pp. 1981-2004, 2024, DOI:10.32604/cmes.2023.031425 - 17 November 2023

Abstract Manual investigation of chest radiography (CXR) images by physicians is crucial for effective decision-making in COVID-19 diagnosis. However, the high demand during the pandemic necessitates auxiliary help through image analysis and machine learning techniques. This study presents a multi-threshold-based segmentation technique to probe high pixel intensity regions in CXR images of various pathologies, including normal cases. Texture information is extracted using gray co-occurrence matrix (GLCM)-based features, while vessel-like features are obtained using Frangi, Sato, and Meijering filters. Machine learning models employing Decision Tree (DT) and Random Forest (RF) approaches are designed to categorize CXR images… More > Graphic Abstract

A. K. Aqili^a,*, T. Abu-Omar^a, A. Y. Al-Reyahi^a, A. Shaheen^a, S. Al-Omari^a, I. Alhagish^a

Chalcogenide Letters, Vol.20, No.2, pp. 113-120, 2023, DOI:10.15251/CL.2023.202.113

Abstract Zinc Telluride (ZnTe) films were prepared by the closed space sublimation (CSS) method. The effect of chemical treatments with concentrated phosphoric acid, on the optical, electric and structural properties of the films was studied. Zinc-blend structure of the polycrystalline nature of the films was confirmed by x-ray diffraction (XRD) spectra. The energy dispersive x-ray (EDX) shows an increase in Te ratio on the surface of the film as exposed to phosphoric acid. In addition, the dc electrical resistivity of the films was dropped considerably. The refractive index, thickness, and thickness irregularity of the films were More >

A. F. Qasrawi^a,c,*, Hazem K. Khanfar^b

Chalcogenide Letters, Vol.20, No.3, pp. 177-186, 2023, DOI:10.15251/CL.2023.203.177

Abstract Herein voltage and frequency controlled thin film transistors fabricated by depositing SeO₂ onto germanium thin crystals are reported. For these devices measurements of the current-voltage characteristics revealed a biasing dependent rectification ratios. The devices showed metal-oxide-semiconductor character under reverse biasing conditions. In addition, the biasing dependent capacitance and conductance spectral studies in the frequency domain of 20M-1000MHz has shown the possibility of switching the capacitance and negative conductance from negative mode to positive mode. The features of the Ge/SeO₂ devices make them attractive for use in electronic circuits as parasitic capacitive circuit elements, noise reducers, signal More >

R. Ranjan^a, C. M. S. Negi^b, K. P. Tiwary^c,*

Chalcogenide Letters, Vol.20, No.4, pp. 251-259, 2023, DOI:10.15251/CL.2023.204.251

Abstract Photocatalytic degradation of methyl red dye using Mn(5%) doped CdS nanoparticles was studied.Mn doped CdS nanoparticles was synthesized by microwave assisted solvo thermal method where the chemicals used wereCadmium Acetate [(CH₃COO)₂Cd, H₂O], Manganese Chloride [MnCl₂.2H₂O] and Sodium Sulfide [Na₂S.xH₂O]. X-Ray diffraction(XRD) analysis was carried out in order to analyze the structural dimensions of the synthesized nanoparticles and the average crystallite size has been calculated at the full width half maximum (FWHM) of the diffraction peaks using Debye-Scherer equation and it was found to be around2.3nm. FTIR spectra analysis was done in order to analyze different functional and… More >

V. Edilashvili, Yu. Blagidze, O. Gogolin^*, E. Tsitsishvili

Chalcogenide Letters, Vol.20, No.4, pp. 235-241, 2023, DOI:10.15251/CL.2023.204.235

Abstract Thermally stimulated luminescence of the X-ray irradiated CdSSe-doped borosilicate glases have been studied. The two well defined temperarure maxima discovered for total thermoluminescence intensity, as well as the thermoluminescence dependence on the nanocrystal size and X-ray dose are discussed. More >

R. Ranjan^a,b, C. M. S. Negi^b, S. K. Choubey^a, K. P. Tiwary^c,*

Chalcogenide Letters, Vol.20, No.10, pp. 709-724, 2023, DOI:10.15251/CL.2023.2010.709

Abstract Manganese-doped cadmium sulphide semiconductor nanoparticles (CdS: Mn) NPs have been created utilizing a microwave-assisted solvothermal technique at different Mn concentrations (0, 1%, 3%, and 5%). The chemicals utilized for the preparation of Mn doped CdS nanoparticles were sodium sulphide (Na₂S.xH₂O), manganese chloride (MnCl₂.4H₂O), and cadmium acetate (CH₃COO)₂Cd., H₂O). To determine the structural dimensions of the generated nanoparticles, the Debye-Scherer equation was used to calculate the average crystallite size at the full-width half maximum (FWHM) of the diffraction peaks. FTIR spectra analysis was used to look at the various functional and vibrational groups present in the Mn-doped CdS More >

A. Chirita^a,*, A. Hustuc^b, N. Nasedchina^a, S. Vatavu^a

Chalcogenide Letters, Vol.20, No.11, pp. 803-809, 2023, DOI:10.15251/CL.2023.2011.803

Abstract The polymer/67at %(As₂S₃)_0.985(Bi₂Se₃)_0.015:33 at.% As₂Se₃ structure for X-ray imaging has been investigated. The possibility of registering relief-phase images for radiation of “white” spectrum of tungsten anode X-ray tube was shown. More >