Ethical considerations and robustness of artificial neural networks in medical image analysis under data corruption by Michael Okunev, Doron Handelman, Amir Handelman

“…In this work, we investigate the combination of several key parameters on the performance of artificial neural networks (ANNs) used for medical image analysis in the presence of data corruption or errors. …”
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Development of a Medical Information System with Data Storage and Intelligent Image Analysis by D. A. Yakimov, N. V. Vygovskaya, I. V. Drozdov

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Impact of SAR Image Quantization Method on Target Recognition With Neural Networks by Kangwei Li, Di Wang, Daoxiang An

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Natural Language Processing and Complex Network based Tourism Social Big Data Analysis by Yin Lijie

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Cross-survey Image Transformation: Enhancing SDSS and DECaLS Images to Near-HSC Quality for Advanced Astronomical Analysis by Zhijian Luo, Shaohua Zhang, Jianzhen Chen, Zhu Chen, Liping Fu, Hubing Xiao, Wei Du, Chenggang Shu

“…Our research is expected to provide significant technical support for astronomical data analysis, cross-survey image integration, and high-precision astrometry.…”
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Analysis of selected methods of person identification based on biometric data by Marcin Rudzki, Paweł Powroźnik

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Image-Based Malicious Network Traffic Detection Framework: Data-Centric Approach by Doo-Seop Choi, Taeguen Kim, Boojoong Kang, Eul Gyu Im

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PROPERTIES OF NETWORKS BUILT ON DIGITAL IMAGES by Oleh Kushnir, Oleksiy Kravchuk, Volodymyr Franiv

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The Image of the Modern Regional Leader: Network Analysis Results by D. I. Kaminchenko

“…The objectives of the study are to study the goals, the principles of their implementation and the features of communication with other representatives of power and society, which are presented in the content of the image of a political leader.   The study uses a set of empirical methods, including non-directional quantitative content-analysis, network data analysis and linguistic analysis. …”
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SYNTHETIC HISTOPATHOLOGY LYMPHOCYTE IMAGES AUGMENTATION USING CONDITIONAL GENERATIVE ADVERSARIAL NETWORKS by Alexandra-Georgiana ANDREI, Bogdan IONESCU

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Automatic Image Colorization Based on Convolutional Neural Networks by L. V. Serebryanaya, V. V. Potaraev

“…Analysis of methods and tools for image colorization was performed. …”
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Automatic analysis of three-dimensional cardiac tagged magnetic resonance images using neural networks trained on synthetic data by Stefano Buoso, Christian T. Stoeck, Sebastian Kozerke

“…We present a deep learning approach specifically designed for displacement analysis of 3D cardiac tagged MR images. Methods: We developed two neural networks to predict left-ventricular motion throughout the cardiac cycle. …”
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Deep Learning-Based Remote Sensing Image Analysis for Wildfire Risk Evaluation and Monitoring by Shiying Yu, Minerva Singh

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Generative Adversarial Networks (GANs) for Image Augmentation in Farming: A Review by Zahid Ur Rahman, Mohd Shahrimie Mohd Asaari, Haidi Ibrahim, Intan Sorfina Zainal Abidin, Mohamad Khairi Ishak

“…Deep learning models require large, realistic datasets, which are often difficult to obtain. Data augmentation, especially through Generative Adversarial Networks (GANs), has become essential in farming applications, generating synthetic images to improve model training and reduce the need for extensive image collection. …”
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Exoplanet Classification Through Vision Transformers with Temporal Image Analysis by Anupma Choudhary, Sohith Bandari, B. S. Kushvah, C. Swastik

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Efficient Fault Localization in Smart Grid Through Analysis of the Wave Matrix Image Using Convolutional Neural Networks by Jose Carlos Filho, Francisco C. M. Abreu, Mauricio Silva, Fabbio Borges, Ricardo A. L. Rabelo

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Analysis of tourist attraction image based on user evaluation data: A case study of Yellow Crane Tower by Liu Guangao, Cheng Congxi, Cheng Baihuizi

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Automated diagnosis and classification of metacarpal and phalangeal fractures using a convolutional neural network: a retrospective data analysis study by Michael Axenhus, Anna Wallin, Jonas Havela, Sara Severin, Ablikim Karahan, Max Gordon, Martin Magnéli

“…Methods: A retrospective analysis of 7,515 examinations comprising 27,965 images was conducted, with datasets divided into training, validation, and test datasets. …”
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A big data analysis algorithm for massive sensor medical images by Sarah A. Alzakari, Nuha Alruwais, Shaymaa Sorour, Shouki A. Ebad, Asma Abbas Hassan Elnour, Ahmed Sayed

“…The smart sensor-based big data analysis recommendation system has significant privacy and security concerns when using sensor medical images for suggestions and monitoring. …”
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Interpretable correlator Transformer for image-like quantum matter data by Abhinav Suresh, Henning Schlömer, Baran Hashemi, Annabelle Bohrdt

“…Next to these traditional applications, machine learning (ML) methods have also been demonstrated to be versatile tools in the analysis of image-like data of quantum phases of matter, e.g. given snapshots of many-body wave functions obtained in ultracold atom experiments. …”
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