The Influence of WOM and Brand Image on Customer Trust and Satisfaction at BANK CENTRAL ASIA (BCA) by Lilik Indrawati, Thyophoida Wanty Suriany Panjaitan

Subjects: “…Word of Mouth; Brand Image; Trust dan Kepuasan…”
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Magnetic Resonance Imaging for Characterization of a Chick Embryo Model of Cancer Cell Metastases by Anne Herrmann PhD, Arthur Taylor PhD, Patricia Murray PhD, Harish Poptani PhD, Violaine Sée PhD

“…Molecular Imaging…”
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Protocol for assessing and visualizing cell microaggregate formation in whole blood by imaging flow cytometry by Johannes Krell, Komal Kumar Javarappa, Angie Wenedy, Andrew L. Frelinger, III, Laurent Renia, Clarissa Prazeres da Costa, Martin Schlegel, Percy Knolle, Gerhard Schneider, Oliver Hayden

“…This protocol provides accurate and quantitative analysis of cell aggregates using a small volume of whole blood and imaging flow cytometry. We describe steps for sample collection, staining, and measurement. …”
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A large histological images dataset of gastric cancer with tumour microenvironment annotation for AI by Shenghan Lou, Jianxin Ji, Huiying Li, Xuan Zhang, Yang Jiang, Menglei Hua, Kexin Chen, Kaiyuan Ge, Qi Zhang, Liuying Wang, Peng Han, Lei Cao

“…The dataset consists of nearly 31 K histological images from 300 whole slide images. Additionally, we explained two deep learning models used as validation examples using this dataset.…”
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Coastal Inlet Analysis by Image Color Intensity Variations: Implications for the Barrier Coast of Ukraine by Ilya V. Buynevich, Oleksiy V. Davydov, Duncan M. FitzGerald

“…For rapid spatial analysis of remotely sensed or archival datasets, image color intensity (ICI) patterns are obtained using grayscale (GS) spectra and a wide range of filter options. …”
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Retracted: Application and Analysis of Remote Sensing Image Processing Technology in Robotic Power Inspection by Journal of Robotics

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Rapid diffused optical imaging for accurate 3D estimation of subcutaneous tissue features by Shanshan Cai, John Mai, Winn Hong, Scott E. Fraser, Francesco Cutrale

Subjects: “…optical imaging…”
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Learning Dendritic-Neuron-Based Motion Detection for RGB Images: A Biomimetic Approach by Tianqi Chen, Yuki Todo, Zhiyu Qiu, Yuxiao Hua, Delai Qiu, Xugang Wang, Zheng Tang

“…In this study, we designed a biomimetic artificial visual system (AVS) inspired by biological visual system that can process RGB images. Our approach begins by mimicking the photoreceptor cone cells to simulate the initial input processing followed by a learnable dendritic neuron model to replicate ganglion cells that integrate outputs from bipolar and horizontal cell simulations. …”
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Image recognition technology for bituminous concrete reservoir panel cracks based on deep learning. by Kai Hu, Yang Ling, Jie Liu

“…A large dataset of panel images was collected and processed using denoising, standardization, and data augmentation techniques, with crack areas labeled via LabelImg software. …”
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The usefulness of selected sequences of magnetic resonance imaging in a diagnostic model for Crohn’s disease by Barbara Tomicka-Szymanska, Mariusz Kaszubowski, Pawel Winklewski, Joanna Pienkowska, Joanna Wypych, Maria Janiak, Arkadiusz Szarmach, Edyta Szurowska

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Intelligent Target Detection in Synthetic Aperture Radar Images Based on Multi-Level Fusion by Qiaoyu Liu, Ziqi Ye, Chenxiang Zhu, Dongxu Ouyang, Dandan Gu, Haipeng Wang

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Deep learning–assisted diagnosis of acute mesenteric ischemia based on CT angiography images by Lei Song, Xuesong Zhang, Jian Zhang, Jie Wu, Jinkai Wang, Feng Wang

“…The arterial and venous CTA images were utilized to construct DL model. A Fusion Model was constructed by integrating clinical factors into the DL model. …”
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Ultrasound and 3D Skin Imaging: Methods to Evaluate Efficacy of Striae Distensae Treatment by Mariella Bleve, Priscilla Capra, Franca Pavanetto, Paola Perugini

“…PRIMOS was able to measure and document striae distensae maturation; furthermore, ultrasound imaging permitted to visualize and diagnose the striae. …”
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Development and Validation of a Complete GATE Model of the Siemens Inveon Trimodal Imaging Platform by Sanghyeb Lee, Jens Gregor, Dustin Osborne

“…Molecular Imaging…”
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PET-CT Imaging in Hypertrophic Cardiomyopathy: A Narrative Review on Risk Stratification and Prognosis by Patrícia Marques-Alves, Lino Gonçalves, Maria João Ferreira

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Radioiodine Labeled Anti-MIF McAb: A Potential Agent for Inflammation Imaging by Chao Zhang, Gui-hua Hou, Jian-kui Han, Jing Song, Ting Liang

“…Whole-body autoradiography showed that all inflammation foci could be visualized clearly from 24 hours after injection, but 48 hours images were much clearer in accordance with the high T/NT ratio. …”
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We are entering a new era of problems: AI-generated images in research manuscripts by Kabir Suman Dash, Vini Mehta, Priyanka Kharat

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Analysis of Crack Initiation in Hot Forging Process with the Support of the Digital Image Correlation System by Łukasz Lisiecki, Paulina Lisiecka-Graca, Nikolaos E. Karkalos

“…Thus, this study presents the results of modified compression tests under conditions of a real forging process, since knowledge of the geometrical parameters of the tools and samples makes it possible to determine the areas of stress concentration which contribute to the formation of controlled cracks. The digital image correlation system (DIC) was used to analyze the deformation parameters that lead to achieving the critical values of fracture criterion; simulations were additionally performed to confirm the reliability of predicting the location and the critical moment just before failure in the forging process under consideration. …”
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MGScoliosis: Multi-grained scoliosis detection with joint ordinal regression from natural image by Xiaojia Zhu, Rui Chen, Zhiwen Shao, Ming Zhang, Yuhu Dai, Wenzhi Zhang, Chuandong Lang

“…Besides, estimating Cobb angle level only using natural images are challenging. To tackle these issues, we propose a multi-grained scoliosis detection framework by jointly estimating severity level and Cobb angle level of scoliosis from a natural image instead of a radiographic image, which has not been explored before. …”
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MSGU-Net: a lightweight multi-scale ghost U-Net for image segmentation by Hua Cheng, Yang Zhang, Huangxin Xu, Huangxin Xu, Dingliang Li, Zejian Zhong, Yinchuan Zhao, Zhuo Yan

Subjects: “…image segmentation…”
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