3-D Image Analysis of Fluorescent Drug Binding by M. Raquel Miquel, Venessa Segura, Z. Ali, M. P. D'Ocon, J. C. McGrath, Craig J. Daly

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Adaptive CNN Ensemble for Complex Multispectral Image Analysis by Syed Muslim Jameel, Manzoor Ahmed Hashmani, Mobashar Rehman, Arif Budiman

“…Due to the complexities (spatial, spectral, dynamic data sources, and temporal inconsistencies) in online and time-series multispectral image analysis, there is a high occurrence probability in variations of spectral bands from an input stream, which deteriorates the classification performance (in terms of accuracy) or makes them ineffective. …”
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An MCMC Approach to Bayesian Image Analysis in Fourier Space by Konstantinos Bakas, John Kornak, Hernando Ombao

Subjects: “…Bayesian image analysis…”
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Recent Machine Learning Progress in Image Analysis and Understanding by Shengping Zhang, Huiyu Zhou, Lei Zhang

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Automatic Quantification of Microvessels Using Unsupervised Image Analysis by Petter Ranefall, Kenneth Wester, Christer Busch, Per-Uno Malmström, Ewert Bengtsson

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A Review of Caveats in Statistical Nuclear Image Analysis by Helene Schulerud, Gunner B. Kristensen, Knut Liestøl, Liljana Vlatkovic, Albrecht Reith, Fritz Albregtsen, Hàvard E. Danielsen

“…A large body of the published literature in nuclear image analysis do not evaluate their findings on an independent data set. …”
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AN APPROACH TO CELL NUCLEI COUNTING IN HISTOLOGICAL IMAGE ANALYSIS by M. M. Lukashevich, V. V. Starovoitov

“…Critical parameters defined algorithms, configurable at each stage of image analysis. For each parameter we have defined value ranges, and then realized a selection of optimal values for every parameter and a mutual combination of them. …”
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FTIR microscopic image analysis based on 2DPCA by Xiu-kun YANG, Ming-liang ZHONG, Xiao-jun JING, Jie ZHANG

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Successive memory image analysis method for malicious codes by Wei-ming LI, De-qing ZOU, Guo-zhong SUN

“…In order to detect the behavior of malicious code more comprehensively, the technology of continuous memory image analysis was proposed. The core idea was to run malicious code in QEMU virtual machine, to obtain the memory image of the continuous increment in the running period, and then to analyze the memory image of the base and increment as the memory image. …”
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IMAGING ANALYSIS OF PERIODONTAL STATUS IN A GROUP OF PATIENTS WITH OSTEOPOROSIS by Stoica George, Roxana Popescu, Andreea Diana Ilinca, Daniela Pomohaci, Balcos Carina, Alexandru Nemtoi, Sirghe Ana, Haba Danisia

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ViT-Based Face Diagnosis Images Analysis for Schizophrenia Detection by Huilin Liu, Runmin Cao, Songze Li, Yifan Wang, Xiaohan Zhang, Hua Xu, Xirong Sun, Lijuan Wang, Peng Qian, Zhumei Sun, Kai Gao, Fufeng Li

“…Methods: An innovative face diagnosis image analysis method for SZ detection, which learns feature representations based on Vision Transformer (ViT) directly from face diagnosis images. …”
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Attention-based deep learning for accurate cell image analysis by Xiangrui Gao, Fan Zhang, Xueyu Guo, Mengcheng Yao, Xiaoxiao Wang, Dong Chen, Genwei Zhang, Xiaodong Wang, Lipeng Lai

“…Noisy and redundant signals in cell images impede accurate deep learning-based image analysis. To address these issues, we introduce X-Profiler, a novel HCA method that combines cellular experiments, image processing, and deep learning modeling. …”
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Image Analysis as a Tool for Estimation of Red Peppers’ Color by Ramesh Babu Natarajan, Ranjith Arimboor

Subjects: “…image analysis: flatbed scanner…”
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Visceral condition assessment through digital tongue image analysis by Siu Cheong Ho, Yiliang Chen, Yao Jie Xie, Wing-Fai Yeung, Shu-Cheng Chen, Jing Qin

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AMIDE: A Free Software Tool for Multimodality Medical Image Analysis by Andreas Markus Loening, Sanjiv Sam Gambhir

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AFM-DViT: A framework for IoT-driven medical image analysis by Jiacheng Yang

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Estimation of Blast Severity on Rye and Triticale Spikes by Digital Image Analysis by João Leodato Nunes Maciel, Alfredo do Nascimento Junior, Cristina Boaretto

“…Blast severity was determined using the program ImageJ to analyze the obtained images. Two methods of image analysis were used: selection of symptomatic areas using a mouse cursor (SCU) and selection of symptomatic areas using image segmentation (SIS). …”
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Patrol image analysis framework and deep learning method for power grid by Yuanning LI, Baifeng NING, Zhaojie DONG

“…With the development of intelligent manufacturing and IoT,UAV has been widely utilized by power grid enterprise in patrolling transmission lines.At the same time,massive patrol image data need to be analyzed urgently.A U2U image analysis framework was designed from user data collection,automatic annotation and to user feedback.Two deep learning methods,which were faster R-CNN and SSD,were explored and applied in U2U to detect five types of power components,including insulators,dampers,grading rings and shielding rings.A refining method based on K-means++ was proposed for the parameters of anchor box.Experimental results demonstrate that the proposed methods can effectively improve the adaptability and detection accuracy of deep learning method for multiple-scale power components and provide a useful reference for subsequent defect detection and deep application of UAV patrolling.…”
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The 2D Spectral Intrinsic Decomposition Method Applied to Image Analysis by Samba Sidibe, Oumar Niang, Abdoulaye Thioune, Abdoul-Dalibou Abdou, Ndeye Fatou Ngom

“…We extracted relevant components and obtained promising results in images analysis applications.…”
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