pH-FISH: coupled microscale analysis of microbial identity and acid–base metabolism in complex biofilm samples by Yumi Chokyu Del Rey, Katharina Kitzinger, Marie Braad Lund, Andreas Schramm, Rikke Louise Meyer, Michael Wagner, Sebastian Schlafer

“…Abstract Background Correlative structural and chemical imaging of biofilms allows for the combined analysis of microbial identity and metabolism at the microscale. …”
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Numerical and Experimental Analysis of the Structural Behavior of an EPP Component by Carlo Sabbatini, Gianluca Chiappini, Veronica Ilari, Giacomo Zandri, Marco Sasso

“…The experimental results, measured through 3D image analysis, were then compared with the simulation ones. …”
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Pottery with Graphic Images and Handles from the Settlement of Kizhirovo: Technological Features by Dmitry V. Selin

“…Technical and technological analysis was conducted on four vessels with graphical images and one piece of utensil with handles from the settlement of Kizhirovo. …”
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Capturing Fine-Grained Food Image Features Through Iterative Clustering and Attention Mechanisms by Wei He, Mengmeng Liu, Qingqi Liang

“…Food image recognition is a crucial initial step for food detection, nutritional analysis, and dietary recommendations. …”
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Synthesis of a Generalized Algorithm for Processing and Generating Data on Reflected Signals from Complex Targets by Xung Ha Vo, Trung Kien Nguyen, Phung Bao Nguyen, Quang Hieu Dang

“…Following an analysis of some characteristics of complex targets and the theory of radar image processing, an generalized algorithm was synthesized for processing and generating data of reflected signals from this class of targets. …”
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Unobtrusive human activity classification based on combined time‐range and time‐frequency domain signatures using ultrawideband radar by Mohamad Mostafa, Somayyeh Chamaani

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An Efficient ISAR Imaging Method for Space Maneuvering Target Based on Multisynchrosqueezing Transform by Ting Zhao, Chengxiang Zhang, Yu Zheng, Jishen Liang

“…By extracting instantaneous Doppler features through energy concentration optimization, the framework achieves enhanced ISAR image resolution. Simulation and experimental results demonstrate that this method significantly outperforms conventional RD algorithms and standard time-frequency analysis techniques in time-frequency focusing performance under complex target motion conditions.…”
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Automatic Detection of Concrete Spalling Using Piecewise Linear Stochastic Gradient Descent Logistic Regression and Image Texture Analysis by Nhat-Duc Hoang, Quoc-Lam Nguyen, Xuan-Linh Tran

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Optimizing Deep Learning Algorithms for Effective Chicken Tracking through Image Processing by Saman Abdanan Mehdizadeh, Allan Lincoln Rodrigues Siriani, Danilo Florentino Pereira

“…Identifying bird numbers in hostile environments, such as poultry facilities, presents significant challenges. The complexity of these environments demands robust and adaptive algorithmic approaches for the accurate detection and tracking of birds over time, ensuring reliable data analysis. …”
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Image-Text Joint Learning for Social Images with Spatial Relation Model by Jiangfan Feng, Xuejun Fu, Yao Zhou, Yuling Zhu, Xiaobo Luo

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Adaptive Refinement of Segmented Object Contour Based on the Brightness of Neighboring Pixels Using the Ensemble Method by Vladyslav D. Koniukhov

A quantitative tumor‐wide analysis of morphological heterogeneity of colorectal adenocarcinoma by Mihnea P Dragomir, Vlad Popovici, Simon Schallenberg, Martina Čarnogurská, David Horst, Rudolf Nenutil, Fred Bosman, Eva Budinská

“…Three pathologists evaluated dominant, secondary, and tertiary morphology on four sections from four different FFPE blocks per tumor in a pilot set of 22 CRCs. An AI‐based image analysis tool was trained on these tumors to evaluate the morphologic heterogeneity on an extended set of 161 stage I–IV primary CRCs (n = 644 H&E sections). …”
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Training and inference Time Efficiency Assessment Framework for machine learning algorithms: A case study for hyperspectral image classification by Xiaorou Zheng, Jianxin Jia, Shoubin Dong, Yawei Wang, Runuo Lu, Yuwei Chen, Yueming Wang

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Uncertainty-Aware Adaptive Multiscale U-Net for Low-Contrast Cardiac Image Segmentation by A. S. M. Sharifuzzaman Sagar, Muhammad Zubair Islam, Jawad Tanveer, Hyung Seok Kim

“…Medical image analysis is critical for diagnosing and planning treatments, particularly in addressing heart disease, a leading cause of mortality worldwide. …”
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Case Report: Hemodynamic consequences of severe supraventricular arrhythmia assessed by real-time magnetic resonance imaging in combination with electrocardiography by Lena Maria Röwer, Miriam Nathalie Tappel, Mohamed Ali Goundi, Anja Müller-Lutz, Mohamed Abd El Rahman, Jana Rieke, Gerrit Steinhagen, Mathias Emmel, Dirk Klee, Frank Pillekamp

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3D Reconstruction and Measurement Analysis of a Dense Point Cloud Fused with a Depth Image by Yujing Qiao, Ning Lv, Siyuan Zhang

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Retrospective panoramic radiographic evaluation of acute leukemia patients with fractal analysis by Hüseyin Balbay, Serdar Uysal

“…Abstract Background The aim of this study is to examine the changes in the trabecular structure of the jaw bones in acute leukemia (AL), which can cause extensive osteopenia using the Fractal Analysis (FA). Methods Panoramic images (PI) of 45 patients with AL who did not have any additional disease affecting the bone constituted the case group. …”
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Enhancing Weibo Sentiment Analysis With Multi-Modal Learning: Integrating Text and Synthesized Images With Contrastive Learning by Chuyang Wang, Jessada Konpang, Adisorn Sirikham, Shasha Tian

“…Current sentiment analysis methods struggle with the unique challenges of Weibo posts, which often contain informal language, sarcasm, and lack of context, making it difficult to capture complex emotions. …”
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Unit Size Determination for Exploratory Brain Imaging Analysis: A Quest for a Resolution-Invariant Metric by Jihnhee Yu, HyunAh Lee, Zohi Sternberg

“…Defining an adequate unit size is often crucial in brain imaging analysis, where datasets are complex, high-dimensional, and computationally demanding. …”
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FROM PIXELS TO DIAGNOSIS: A DEEP LEARNING FRAMEWORK FOR HISTOPATHOLOGICAL IMAGE ANALYSIS IN CANINE TESTICULAR PATHOLOGY

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