Different Acupuncture Treatments for Myofascial Pain Syndrome in Neck or Shoulder: A Network Meta-Analysis Based on Randomized Controlled Trials by Wang T, Gu Y, Li Y, Chen J, Zeng L

“…Network Meta-analysis was conducted using Stata 16.0.Results: This study included 29 RCTs, involving a total of 2424 patients. …”
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Research on insider threat detection based on personalized federated learning and behavior log analysis by Xiaoyun Ye, Faqin Luo, Huangrongbin Cui, Jinlong Wang, Xiaoyun Xiong, Wencui Zhang, Jiawei Yu, Wenhao Zhao

“…Drawing on the DeepInsight concept, we convert different data types into image formats for use with Convolutional Neural Networks (CNNs) to train insider threat detection models. …”
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Use of pattern recognition in photoacoustic imaging to identify neuronal ensembles in the prefrontal cortex of rats undergoing conditioned fear learning by Shane A. Perrine, Mohammad Beirami, James I. Matchynski, Rayyan Manwar, Srinivasu Kallakuri, Alana C. Conti, Kamran Avanaki

“…This study also highlights the use of pattern recognition analysis using photoacoustic imaging data leading the way for future use of this computational approach to brain imaging.…”
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A multi-model approach integrating whole-slide imaging and clinicopathologic features to predict breast cancer recurrence risk by Manu Goyal, Jonathan D. Marotti, Adrienne A. Workman, Graham M. Tooker, Seth K. Ramin, Elaine P. Kuhn, Mary D. Chamberlin, Roberta M. diFlorio-Alexander, Saeed Hassanpour

“…The aim of this study was to develop a multi-model approach integrating the analysis of whole-slide images and clinicopathologic data to predict their associated breast cancer recurrence risks and categorize these patients into two risk groups according to the predicted score: low-risk and high-risk. …”
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Deep Learning Techniques for Lung Cancer Diagnosis with Computed Tomography Imaging: A Systematic Review for Detection, Segmentation, and Classification by Kabiru Abdullahi, Kannan Ramakrishnan, Aziah Binti Ali

“…This systematic review examined the advancements, challenges, and clinical implications of DL in lung cancer diagnosis via CT imaging, focusing on model performance, data variability, generalizability, and clinical integration. …”
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Three-dimensional structure of entire hydrated murine hearts at histological resolution by Jasper Frohn, Frederik Böddeker, Marius Reichardt, Hendrik Bruns, Titus Czajka, Amara Khan, Ludovic Broche, Michael Krisch, Alberto Bravin, Frauke Alves, Jana Zschüntzsch, Tim Salditt

“…Abstract Imaging the entire cardiomyocyte network in entire small animal hearts at single cell resolution is a formidable challenge. …”
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Sociological Diagnostics of the Image of a “hero” as an Object of Social Construction in the Ideology of Youth, during a Special Military Operation by A. S. Kurapova, S. V. Kurapov, A. B. Ilchenko

“…Conscripts and Cossack youth were taken for comparative analysis. The importance of the influence of images of “heroes” that meet certain requirements in the conditions of “hybrid war” is noted.Methodology and sources. …”
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Landslide Segmentation in High-Resolution Remote Sensing Images: The Van–UPerAttnSeg Framework with Multi-Scale Feature Enhancement by Chang Li, Quan Zou, Guoqing Li, Wenyang Yu

“…To overcome these limitations, for high-resolution remote sensing images, this method first uses online equalization sampling and enhancement strategy to sample high-resolution remote sensing images to ensure data balance and diversity. …”
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Remote sensing monitoring of wheat aphids by combining HJ satellite images with least squares twin support vector machine model by HU Gensheng, WU Wentian, LUO Juhua, HUANG Wenjiang, LIANG Dong, HUANG Linsheng

“…In this paper, by using the field location survey data and the HJ-CCD and HJ-IRS image data, the growth factors and the environmental factors of wheat are extracted, including normalized difference vegetation index (NDVI) , green normalized difference vegetation index (GNDVI) , reflectance of red band, land surface temperature (LST) and perpendicular drought index (PDI) . …”
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Sway frequencies may predict postural instability in Parkinson’s disease: a novel convolutional neural network approach by David Engel, R. Stefan Greulich, Alberto Parola, Kaleb Vinehout, Justus Student, Josefine Waldthaler, Lars Timmermann, Frank Bremmer

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Digital Humanities: Is it a New Science or a Set of Models and Practices of the Global Network Project? by R. I. Mamina, E. E. Yelkina

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Deep Learning Technology for Classification of Thyroid Nodules Using Multi-View Ultrasound Images: Potential Benefits and Challenges in Clinical Application by Jinyoung Kim, Min-Hee Kim, Dong-Jun Lim, Hankyeol Lee, Jae Jun Lee, Hyuk-Sang Kwon, Mee Kyoung Kim, Ki-Ho Song, Tae-Jung Kim, So Lyung Jung, Yong Oh Lee, Ki-Hyun Baek

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Comparative analysis of deep learning architectures for thyroid eye disease detection using facial photographs by Amirhossein Aghajani, Mohammad Taher Rajabi, Seyed Mohsen Rafizadeh, Amin Zand, Majid Rezaei, Mohammad Shojaeinia, Elham Rahmanikhah

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Graph Neural Network With Hessian-Based Locally Linear Embedding for Cancer Metastasis Analysis in Lymph Nodes Using DeepLab Segmentation by Senthil Jayapal, R. Annamalai

“…The method was tested on the CAMELYON17 dataset, which contains of imaging data from patients with dissimilar stages of cancer. …”
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Organizational identity construction of Colombian brands of swimwear on Instagram by Manuelita Arias Arango, Carlos Andrés Osorio, Leonardo Ortegón Cortázar

“…The analysis of brand management through images on social networks has become increasingly important for companies, and this is why the purpose of this article is to analyse how visual content strategies and interactions with consumers on Instagram contribute to the construction of the organizational identity of Colombian swimwear brands through the analysis of netnography, in order to improve the understanding of key attributes of digital marketing management. …”
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Synergistic hyperspectral and SAR imagery retrieval of mangrove leaf area index using adaptive ensemble learning and deep learning algorithms by Jun Sun, Weiguo Jiang, Bolin Fu, Hang Yao, Huajian Li

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Practical use of radiomic features as a metric for image quality discrimination in [18F] FDG-PET: a pilot study by Jane Burns, Hannah O’Driscoll, Eamon Loughman

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Accurate Mapping of Downed Deadwood in a Dense Deciduous Forest Using UAV-SfM Data and Deep Learning by Steffen Dietenberger, Marlin M. Mueller, Boris Stöcker, Clémence Dubois, Hanna Arlaud, Markus Adam, Sören Hese, Hanna Meyer, Christian Thiel

“…Key objectives included testing the deep learning (DL) model’s performance at area, length, and object levels and benchmarking its accuracy against a traditional object-based image analysis (OBIA) method. Deadwood volume was calculated from the mapping results. …”
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Integrating Optical Draw-In Measurements with Finite Element Analysis for Enhanced Process Insights in Sheet Metal Forming by Chezan Toni, Dhawale Trunal, Pilthammar Johan, Barlo Alexander, Aeddula Omsri

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Design and analysis of quantum machine learning: a survey by Linshu Chen, Tao Li, Yuxiang Chen, Xiaoyan Chen, Marcin Wozniak, Neal Xiong, Wei Liang

“…Secondly, we in-depth discuss 5 quantum machine learning algorithms of quantum support vector machine, quantum neural network, quantum k-nearest neighbour, quantum principal component analysis and quantum k-Means algorithm. …”
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