From data to diagnosis: leveraging deep learning in IoT-based healthcare by Miracle A. Atianashie, Chukwuma Chinaza Adaobi

“…This article explores the advanced architectures of deep learning and their application in healthcare IoT, emphasizing the enhancement of disease prediction models, medical image analysis, and real-time health monitoring systems. …”
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Expression of Constitutive Nitric Oxide Synthase Isoforms in Varicose Vein Wall; Preliminary Results by Zora Haviarová, Andrea Janegová, Pavel Janega, Štefan Durdík, Peter Kováč, Viera Štvrtinová, Peter Mráz

“…Antibodies expression was evaluated semiquantitatively and proved morphometrically by 2D-image analysis. total area of NOS isoforms expressions was determined by color analysis and color digital subtraction. …”
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The Diagnostic Performance of 18F-FDG PET/CT in Recurrent Pancreatic Cancer: A Systematic Review and Meta-analysis by Gu A, Yuezhan Shan, Huasong Huo, Chao Ding, Caixia Sun

“…The extracted data included general data (authors, year of publication), literature characteristics (country, type of literature, and design of study), characteristics of the patient (patients’ number, mean or median age, and treatment regimen), and technical aspects (scanner, injection activity, and image analysis). Results. The analysis includes 7 trials with a total of 263 patients. …”
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Cells Grouping Detection and Confusing Labels Correction on Cervical Pathology Images by Wenbo Pang, Yi Ma, Huiyan Jiang, Qiming Yu

“…The use of pathological image analysis technology to automatically interpret cells in pathological slices is a hot topic in digital medicine research, as it can reduce the substantial effort required from pathologists to identify cells and can improve diagnostic efficiency and accuracy. …”
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In Vitro Evaluation of Proliferation and Migration Behaviour of Human Bone Marrow-Derived Mesenchymal Stem Cells in Presence of Platelet-Rich Plasma by Anh Thi Mai Nguyen, Ha Le Bao Tran, Thuy Anh Vu Pham

“…Cell migration was evaluated using the scratch wound healing (SWH) assay; after that, the recorded digital images were analysed by the Image-Analysis J 1.51j8 software to compare the cell-free areas between groups after 0, 24, and 48 hours. …”
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Artificial intelligence for chest X-ray image enhancement by Liming Song, Hongfei Sun, Haonan Xiao, Sai Kit Lam, Yuefu Zhan, Ge Ren, Jing Cai

“…Recently, the successful application of deep learning (DL) algorithms in medical image analysis has prompted researchers to propose and design DL-based CXR image enhancement algorithms. …”
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The Use of Voice Control in 3D Medical Data Visualization Implementation, Legal, and Ethical Issues by Miklos Vincze, Bela Molnar, Miklos Kozlovszky

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Rheology of concentrated crystal suspensions: sucrose fondants as hard particles in soft matter by Hannah M. Hartge, Hannah M. Hartge, Eckhard Flöter, Thomas A. Vilgis

“…This work investigates different sucrose suspensions with a particle volume fraction of about 50%. After detailed image analysis of the varying particle size distributions and shapes, the flow properties are investigated by oscillatory rheology. …”
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AFN-Net: Adaptive Fusion Nucleus Segmentation Network Based on Multi-Level U-Net by Ming Zhao, Yimin Yang, Bingxue Zhou, Quan Wang, Fu Li

“…The task of nucleus segmentation plays an important role in medical image analysis. However, due to the challenge of detecting small targets and complex boundaries in datasets, traditional methods often fail to achieve satisfactory results. …”
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An Analytical Approach Differentiates Between Individual and Collective Cancer Invasion by Elad Katz, Wim Verleyen, Colin G. Blackmore, Michael Edward, V. Anne Smith, David J. Harrison

“…Here, we use a novel image analysis method to quantify and categorise invasion. …”
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Effects of the <i>Blp1</i> locus, which controls melanin accumulation in the barley ear, on the size and weight of seeds by O. Y. Shoeva, A. Y. Glagoleva, T. V. Kukoeva

“…Seed weight and size assessed by image analysis were compared between two near-isogenic barley lines differing in alleles of the Blp1 gene, which determines melanin accumulation in ear tissues. …”
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Detection of Intracranial Hemorrhage from Computed Tomography Images: Diagnostic Role and Efficacy of ChatGPT-4o by Mustafa Koyun, Zeycan Kubra Cevval, Bahadir Reis, Bunyamin Ece

“…<b>Background/Objectives:</b> The role of artificial intelligence (AI) in radiological image analysis is rapidly evolving. This study evaluates the diagnostic performance of Chat Generative Pre-trained Transformer Omni (GPT-4 Omni) in detecting intracranial hemorrhages (ICHs) in non-contrast computed tomography (NCCT) images, along with its ability to classify hemorrhage type, stage, anatomical location, and associated findings. …”
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Rapid diffused optical imaging for accurate 3D estimation of subcutaneous tissue features by Shanshan Cai, John Mai, Winn Hong, Scott E. Fraser, Francesco Cutrale

“…We present 3D-multisite diffused optical imaging (3D-mDOI) an approach that combines photon migration techniques from diffuse optical tomography, with automated controls and image analysis techniques for estimating lesion’s depth via its optical coefficients. 3D-mDOI is a non-invasive, low-cost, fast, and contact-free instrument capable of estimating subcutaneous tissue structures volumes through multisite-acquisition of re-emitted light diffusion on the sample surface. …”
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Morphometric Analysis of Human Embryonic Stem Cell-Derived Ventricular Cardiomyocytes: Determining the Maturation State of a Population by Quantifying Parameters in Individual Cell... by Harvey Y. S. Chan, Wendy Keung, Ronald A. Li, Andrew L. Miller, Sarah E. Webb

“…In order to determine the extent of differentiation, image analysis protocols were then used to quantify cell shape and area, as well as the degree of myofibrillar organization and intercalation of mitochondria between the myofibrils within the cells. …”
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Web GIS Based Benthic Habitat Mapping Update Supports Smart Island Lemukutan by Zan Zibar, Robin Saputra, Adityo Raynaldo, Supriyatno Supriyatno

“…In the last decade, object-based image analysis (OBIA) has been accepted as an effective method for extracting and classifying information from high spatial resolution satellite imagery. …”
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Comparison of Histochemical Stainings in Evaluation of Liver Fibrosis and Correlation with Transient Elastography in Chronic Hepatitis by Daniela Cabibi, Fabrizio Bronte, Rossana Porcasi, Sabrina Ingrao, Antonino Giulio Giannone, Marcello Maida, Maria Grazia Bavetta, Salvatore Petta, Vito Di Marco, Vincenza Calvaruso

“…This study aimed to compare Masson’s trichrome (MT), Sirius Red (SR), and orcein stainings in evaluating liver fibrosis in chronic HCV hepatitis (CHC) with semiquantitative and quantitative methods (Collagen Proportionate Area (CPA) by Digital Image Analysis (DIA)) and correlate them with transient elastography (TE). …”
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Hybrid Graph Representation Learning for Carotid Artery Stenosis Detection Based on Multimodal Retinal OCTA Images by Wenting Lan, Jinkui Hao, Shengjun Zhou, Jingfeng Zhang, Shaodong Ma, Yitian Zhao

“…The experimental results demonstrated our retinal image analysis-based AI model, received promising results in distinguishing CAS and control subjects, with AUC of 0.7765 and an accuracy of 0.7750.…”
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A novel approach to investigate the pore network and clogging of pervious concrete by Xiang Zhang, Longhui Dong, Wenjie Yu, Enzhong Ren, Runzhu Shi

“…Numerical calculation scenarios comprising image analysis operations of mathematical morphology were proposed to validate the models and to study the issue of clogging, and the related parameters, including path length, tortuosity, pore throat size and interconnected porosity, were obtained. …”
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Contemporary digital sociology in search of meaning-making models: the proper and the actual. Review on articles from the research handbook of digital sociology edited by J. Skopek... by E. V. Andrianova, V. A. Davydenko, A. I. Rozmanov

“…The first part of this review presents the key ideas of 15 chapters, focusing on the foundational components of social  theory and their connections to the internet in daily life, digital  technologies for surveys and data processing, the significance  of mobile devices, big data, machine learning, agent-based  models of social phenomena, inclusive digital focus groups, social networking sites in professional contexts, online dating, partner selection based on digital information, the use of digital approaches in online markets, the application of YouTube in social sciences, and automated image analysis. A distinctive feature of the review is its exploration of the intersection between the digital and social spheres, framed as a contradiction between the proper (computer sciences) and the actual (social sciences), reflecting the search for meaning in communication and action within digital and social spaces.…”
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Potential value of novel multiparametric MRI radiomics for preoperative prediction of microsatellite instability and Ki-67 expression in endometrial cancer by Zhichao Wang, Yan Hu, Jun Cai, Jinyuan Xie, Chao Li, Xiandong Wu, Jingjing Li, Haifeng Luo, Chuchu He

“…This study aimed to develop a novel hybrid radiomics approach integrating multiparametric magnetic resonance imaging (MRI), deep learning, and multichannel image analysis for predicting MSI and Ki-67 status. A retrospective study included 156 EC patients who were subsequently categorized into MSI and Ki-67 groups. …”
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