Information Merging for Improving Automatic Classification of Electrical Impedance Mammography Images by Jazmin Alvarado-Godinez, Hayde Peregrina-Barreto, Delia Irazú Hernández-Farías, Blanca Murillo-Ortiz

“…Each method enhances the representation of tissue features, optimizing the image quality and diagnostic utility. This study evaluated the impact of these integration techniques on EIM image analysis, aiming to improve the accuracy and reliability of computational diagnostic models for breast cancer detection. …”
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Estimation of the Extent of Cervical Cancer Using Multiparametric Magnetic Resonance Imaging by Е. V. Tarachkova, E. V. Nikolaev, М. A. Shorikov, V. О. Panov, I. Е. Tyurin

“…Quantitative analysis of the extent of CC in the parametrium according to the results of complex mpMRI seems to be a possible and highly accurate method.…”
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Image-based identification and isolation of micronucleated cells to dissect cellular consequences by Lucian DiPeso, Sriram Pendyala, Heather Z Huang, Douglas M Fowler, Emily M Hatch

“…Recent advances in isolating cells based on visual phenotypes have transformed our ability to identify the mechanisms and consequences of complex traits. Micronucleus (MN) formation is a frequent outcome of genome instability, triggers extensive changes in genome structure and signaling coincident with MN rupture, and is almost exclusively defined by visual analysis. …”
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Diffusion tensor imaging biomarkers for assessing cognitive and physical function in aging by Jungsoo Lee, Woohee Han, Hyunjin Kim

“…To enhance this association, principal component analysis (PCA) was applied, integrating multiple diffusion features. …”
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Graph-Aware Multimodal Deep Learning for Classification of Diabetic Retinopathy Images by Amina Zedadra, Ouarda Zedadra, Mahmoud Yassine Salah-Salah, Antonio Guerrieri

“…Traditional diagnostic methods primarily rely on single-modality data, such as retinal images, or the analysis of image features, which may limit diagnostic accuracy. …”
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Deepfake Image Forensics for Privacy Protection and Authenticity Using Deep Learning by Saud Sohail, Syed Muhammad Sajjad, Adeel Zafar, Zafar Iqbal, Zia Muhammad, Muhammad Kazim

“…This research focuses on the detection of deepfake images and videos for forensic analysis using deep learning techniques. …”
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Classification of Hyperspectral Images of Explosive Fragments Based on Spatial–Spectral Combination by Donge Zhao, Peiyun Yu, Feng Guo, Xuefeng Yang, Yayun Ma, Changli Wang, Kang Li, Wenbo Chu, Bin Zhang

“…Due to the complex environment of the actual explosion site, this study still needs to be validated in outdoor environments. …”
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E-Commerce Image Enhancement Method Based on Instance Segmentation and Background Replacement by Qiang Gao, Huiping Hu, Wei Liu

“…However, existing image enhancement methods often struggle to balance high-quality visual effects with computational efficiency, especially when handling complex and diverse datasets. …”
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Image-based maturity detection for selective cauliflower harvesting in field condition by Ajay Kushwah, P.K. Sharma, H.L. Kushwaha, Brij Bihari Sharma, Naseeb Singh, Ramineni Harsha Nag, Manojit Chowdhury, Nrusingh Charan Pradhan, Gopal Carpenter, Silpa Mandal, Ali Salem

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A photogrammetric approach to the estimation of distance to animals in camera trap images by B. Mirka, C.D. Lippitt, G.M. Harris, R. Converse, M. Gurule, S.E. Sesnie, M.J. Butler, D.R. Stewart, Z. Rossman

“…The biggest driver of distance error was scene complexity (complex topography, dense vegetation, etc.)…”
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A Hybrid Deep Learning and Improved SVM Framework for Real-Time Railroad Construction Personnel Detection with Multi-Scale Feature Optimization by Jianqiu Chen, Huan Xiong, Shixuan Zhou, Xiang Wang, Benxiao Lou, Longtang Ning, Qingwei Hu, Yang Tang, Guobin Gu

“…Traditional manual monitoring and image processing methods exhibit deficiencies in real-time performance and accuracy. …”
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Generalized Fractional Order Complex Lorenz System-Based Dual Layer Security Enhancement Approach by K. Meera, N. Selvaganesan

“…The optimization of chaotic systems has gained significant importance to attain high complex attractors for cryptographic and communication applications. …”
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Ischiofemoral impingement in joint preserving hip surgery: prevalence and imaging predictors by Alexander F. Heimann, Moritz Wagner, Peter Vavron, Alexander Brunner, Till D. Lerch, Ehrenfried Schmaranzer, Joseph M. Schwab, Simon D. Steppacher, Moritz Tannast, Reto Sutter, Florian Schmaranzer

“…Quadratus femoris muscle edema was used to indicate IFI and measurements of ischiofemoral space were performed. Imaging analysis assessed cam deformity, femoral torsion, neck-shaft angle, ischial angle, acetabular coverage-/ version, and chondro-labral pathology. …”
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Synthesis of biosafe spirulina-derived carbon dots and their fluorescence imaging in zebrafish by Yue Wang, Zhizhi Gu, Jingyi Dong, Cunguang Liu, Jie Zhu, Zixu Wang, Jiaying Li, Meichen Lu, Jian Han, Shengnan Cao, Zhuang Xue, Yan Chen, Liyong Chen, Wei Wang

“…This study highlights the excellent bioimaging capabilities and biocompatibility of spirulina-derived CDs in vertebrate models. Currently, imaging materials are associated with relatively complex toxicity profiles and staining procedures, making the development of low-toxicity and rapid-staining biological imaging agents an urgent necessity. …”
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SELECTION OF LINEAR AND ELLIPTICAL OBJECTS IN THE IMAGE BASED ON THE CALCULATION OF THE CORRELATION COEFFICIENT by V. V. Bulatov

“…Object classification is the root task of image analysis and processing. Recently, this area has paid a lot of attention, since correct recognition of objects in an image is relevant for different areas: robotics, optical inspection of defects in materials and products, analysis of aerospace images, etc. …”
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Enhanced Offline Writer Recognition System Employing Blended Multi-Input CNN and Bi-LSTM Model on Diverse Handwritten Texts by Naresh Purohit, Subhash Panwar

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Advancing osteoarthritis research: the role of AI in clinical, imaging and omics fields by Jingfeng Ou, Jin Zhang, Momen Alswadeh, Zhenglin Zhu, Jijun Tang, Hongxun Sang, Ke Lu

“…These limitations result in delayed diagnoses and inconsistent outcomes. Additionally, the analysis of omics data is challenged by the complexity and high dimensionality of biological datasets, making it difficult to identify key molecular mechanisms and biomarkers. …”
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Research status and prospect of combined X-ray and neutron imaging technology by TANG Lihua, ZHANG Guoguang, XIAO Dan, LIU Peng

“…In multiple important fields such as industry and homeland security, traditional single ray imaging technology often only provides limited image information and material analysis, making it difficult to meet the growing demand for non destructive detection. …”
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A Study on Energy Consumption in AI-Driven Medical Image Segmentation by R. Prajwal, S. J. Pawan, Shahin Nazarian, Nicholas Heller, Christopher J. Weight, Vinay Duddalwar, C.-C. Jay Kuo

“…As artificial intelligence advances in medical image analysis, its environmental impact remains largely overlooked. …”
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Innovative Approaches for PCB Image Reconstruction: Tailored Datasets, Metrics, and Models by Qianyue Wang

“…The reconstruction of PCB (Printed Circuit Board) images is vital for quality control in electronic manufacturing, enabling fault analysis, reverse engineering, and repair. …”
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