Identification of Gallus Domesticus and Joper Chicken Meat Types Using Glcm Combined With K-NN Method by Mila Jumarlis, Mirfan

“…The aim of this study is to develop an information system capable of detecting the type of chicken meat (native or Joper) based on image analysis using the Gray Level Co-Occurrence Matrix (GLCM) method combined with the K-Nearest Neighbour (K-NN) algorithm. …”
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Characterization of microstructure and properties of AlCuMg alloys by Zlatičanin Biljana V., Đurić Stevan, Jordović Branka M., Radonjić B.

“…The effect of the magnesium and titanium content on the microstructure was monitored quantitatively. Using automatic image analysis we were able to measure the linear intercept grain size, the secondary dendrite arm spacing (DAS), the size of eutectic cells (Le), as well as the size distribution and volume fractions of the α-solid solution and the eutectic. …”
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Feasibility of rabbit auricular VX2 tumor model as an experimental model for intra-arterial embolization. by Woosun Choi, Byung Kook Kwak, Jisung Jung, Serah Park, Soon Auck Hong, Sang Lim Choi

“…To investigate the angiographic and pathologic characteristics, angiography, ultrasonography, and thermography were performed 1-2 weeks after inoculation, and image analysis was performed. The animals were sacrificed thereafter, and histologic analysis was conducted by a pathologist. …”
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Parallelizing the cryo‐EM structure determination in THUNDER using GPU cluster by Zhao Wang, Huabin Ruan, Guangwen Yang, Xueming Li

“…However, obtaining high‐resolution 3D reconstructions from innumerable noisy images of macromolecules is an extremely complicated task, involving massive image analysis and calculation on a computing cluster. …”
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Grain orientation and temperature dependences of bubbles at tungsten surfaces upon helium plasma exposure by Mounir Alfazzaa, Federica Pappalardo, Andrea Campos, Gilles Cartry, Marco Minissale, Céline Martin

“…Through detailed SEM imaging before and after plasma exposure and a developed image analysis protocol, we assessed quantitatively the size and density of helium bubbles that have burst on the surface upon plasma exposure. …”
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Housing Complexity Alters GFAP-Immunoreactive Astrocyte Morphology in the Rat Dentate Gyrus by Garrick Salois, Jeffrey S. Smith

“…Confocal imaging and image analysis were then used to measure astrocyte morphology. …”
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Enhancing Brain Tumor Detection: A Comparative Study of CNN Architectures Using MRI Data by Zhu Zhimeng

“…Deep learning models have become essential for automated medical image analysis in brain tumor detection. Existing Convolutional Neural Network (CNN) models like Visual Geometry Group 19 (VGG19), Residual Network 18 (ResNet18), and Residual Network 34 (ResNet34), despite their success in image classification and recognition, face challenges such as unclear boundary detection, limited generalization, and lower computational efficiency in detecting brain tumors. …”
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Color Image Segmentation Using Fuzzy C-Regression Model by Min Chen, Simone A. Ludwig

“…Image segmentation is one important process in image analysis and computer vision and is a valuable tool that can be applied in fields of image processing, health care, remote sensing, and traffic image detection. …”
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Structure Formation as a Process of Mutual Adaptation of a Product and Material by Valeriy Vyrovоу, Svitlana Semenova, Diana Zenchenko, Aleksej Aniskin

“…The applied graphoanalytical method demonstrates the possibility of visualizing and analyzing the distribution of deformations. The methods of image analysis and damage coefficient assessment allow us to quantitatively evaluate the adaptive capabilities of the material. …”
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Pyramidal Watershed Segmentation Algorithm for High-Resolution Remote Sensing Images Using Discrete Wavelet Transforms by K. Parvathi, B. S. Prakasa Rao, M. Mariya Das, T. V. Rao

“…In this paper, an efficient segmentation method for high-resolution remote sensing image analysis is presented. Wavelet analysis is one of the most popular techniques that can be used to detect local intensity variation and hence the wavelet transformation is used to analyze the image. …”
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Diet-related dental wear in archaeological human populations of Chalcolithic and Bronze Age from North-Eastern Romania by Ozana-Maria Petraru, Luminița Bejenaru, Mariana Popovici

“…We report the first semiquantitative and quantitative assessment on dentine exposure of permanent second molars (M2) using the scale scoring technique, image analysis, and regression analysis on human teeth from Chalcolithic and Bronze Age archaeological populations discovered in North-Eastern Romania. …”
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The mycobacterial ABC transporter IrtAB employs a membrane-facing crevice for siderophore-mediated iron uptake by Imre Gonda, Simona Sorrentino, Laura Galazzo, Nicolas P. Lichti, Fabian M. Arnold, Ahmad R. Mehdipour, Enrica Bordignon, Markus A. Seeger

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On the Usage of GPUs for Efficient Motion Estimation in Medical Image Sequences by Jeyarajan Thiyagalingam, Daniel Goodman, Julia A. Schnabel, Anne Trefethen, Vicente Grau

“…Towards this, GPU-specific implementations of image analysis algorithms are particularly promising. …”
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Color Standardization Method and System for Whole Slide Imaging Based on Spectral Sensing by Shinsuke Tani, Yasuhiro Fukunaga, Saori Shimizu, Munenori Fukunishi, Kensuke Ishii, Kosei Tamiya

“…In the field of whole slide imaging, the imaging device or staining process cause color variations for each slide that affect the result of image analysis made by pathologist. In order to stabilize the analysis, we developed a color standardization method and system as described below: 1) Color standardization method based on RGB imaging and multi spectral sensing, which utilize less band (16 bands) than conventional method (60 bands), 2) High speed spectral sensing module. …”
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A Novel Framework for Interactive Visualization and Analysis of Hyperspectral Image Data by Johannes Jordan, Elli Angelopoulou, Andreas Maier

“…We visualize the spectral distribution of an image via parallel coordinates with a strong link to traditional visualization techniques, enabling new paradigms in hyperspectral image analysis that focus on interactive raw data exploration. …”
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Investigation of the Role of Machine Learning and Deep Learning in Improving Clinical Decision Making for Musculoskeletal Rehabilitation by Madhu Yadav, Pushpendra Kumar Verma, Sumaiya Ansari

“…In this investigation, we explore the various applications of machine learning and deep learning in musculoskeletal rehabilitation, including image analysis, predictive modelling, and decision support systems. …”
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Morphology of Near- and Semispherical Melted Chips after the Grinding Processes Using Sol-Gel Abrasives Based on SEM-Imaging and Analysis by W. Kapłonek, K. Nadolny, W. Habrat

“…Selected issues related to SEM-imaging and image analysis of spherical melted chips formed during the grinding process are presented and discussed. …”
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PDE-Based Physics Guided Neural Network for SAR Image Segmentation by Rachana Rao, B. Roja Reddy, M. Uttara Kumari

“…Automatic image segmentation is a fundamental task in SAR image analysis. This paper proposes a novel, innovative approach to SAR image segmentation by integrating physics-based knowledge into a neural network framework. …”
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Improving Intensity-Based Lung CT Registration Accuracy Utilizing Vascular Information by Kunlin Cao, Kai Ding, Joseph M. Reinhardt, Gary E. Christensen

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3D Reconstruction and Prediction of Sialolith Surgery by Jamyson Oliveira Santos, Brunna da Silva Firmino, Matheus Santos Carvalho, Jean de Pinho Mendes, Lucas Novaes Teixeira, Sérgio Lúcio Pereira de Castro Lopes, André Luiz Ferreira Costa, Antonione Santos Bezerra Pinto

“…The objective of the present case report is to highlight imaging and processing techniques as well as image analysis for the preoperative assessment and planning of surgical interventions and adequate treatment of massive sialoliths. …”
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