Firefighting with Conductive Aerosol-Assisted Vortex Rings by John LaRocco, Qudsia Tahmina, Stanley Essel, John Simonis

“…The efficiency of each test case was assessed with a purpose-built automated image analysis system. The compressed air vortex launcher had a significantly higher efficiency than the elastic diaphragm prototype, with a <i>p</i>-value of 0.0006. …”
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Breast cancer classification based on hybrid CNN with LSTM model by Mourad Kaddes, Yasser M. Ayid, Ahmed M. Elshewey, Yasser Fouad

“…The speed-up process of detection and classification is crucial for effective cancer treatment. Medical image analysis methods and computer-aided diagnosis can enhance this process, providing training and assistance to less experienced clinicians. …”
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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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Introducing a Rapid and Practical Approach for Determining Fat Content in Cow Milk Using Image Processing by Lena Beheshti Moghadam, Seyed Saeid Mohtasebi, Behzad Nouri, Mahmoud Omid, Seyed Morteza Mohtasebi

“…This study aimed to establish a correlation between milk fat content and milk color through image analysis techniques. Cow milk samples spanning a fat content range of 0.2% to 3.5% were analyzed under various lighting conditions, employing a fusion of image processing methods with artificial neural networks (ANNs) and particle swarm optimization (PSO) algorithms. …”
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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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Lightweight YOLOv8 for tongue teeth marks and fissures detection based on C2f_DCNv3 by Chunyang Jin, Delong Zhang, Xiyuan Cao, Zhidong Zhang, Chenyang Xue, Yanjun Zhang

“…These advancements underscore the model’s outstanding performance in TCM tongue image analysis, providing a more accurate, efficient, and reliable tool for clinical diagnostic applications.…”
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Improvement of crack tip position estimation in DIC images by image processing methods by Najat Zekriti, Fatima Majid, Hachimi Taoufik, Yassine Tounsi, Rajaa Rhanim, Ibrahim Mrani, Hassan Rhanim

“…An IDS camera captures several photos of the PVC surface as part of the image analysis procedure. All relevant data on crack initiation and propagation is collected and assessed using ImageJ software using image processing methods for detecting cracks. …”
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Quantitative Analysis of Micro-CT Imaging and Histopathological Signatures of Experimental Arthritis in Rats by Matthew D. Silva, Anneli Savinainen, Rasesh Kapadia, Jason Ruan, Elizabeth Siebert, Nicole Avitahl, Rebecca Mosher, Karen Anderson, Bruce Jaffee, Lisa Schopf, Sudeep Chandra

“…These data demonstrate that the destructive progression of disease in a rat AA model can be quantified using 3-D micro-CT image analysis, which allows assessment of arthritic disease status and efficacy of experimental therapeutic agents.…”
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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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A Review of Applying Large Language Models in Healthcare by Qiming Liu, Ruirong Yang, Qin Gao, Tengxiao Liang, Xiuyuan Wang, Shiju Li, Bingyin Lei, Kaiye Gao

“…Next, six specific application areas of LLMs in healthcare are reviewed: disease diagnosis and decision support, dissemination of medical knowledge, medical assistance, medical image analysis, biomedicine, and medical education. Then, several representative healthcare-specific LLMs are discussed, along with their performance analysis. …”
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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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Deep learning approach based on a patch residual for pediatric supracondylar subtle fracture detection by Qingming Ye, Zhilu Wang, Yi Lou, Yang Yang, Jue Hou, Zheng Liu, Weiguang Liu, Jiayu Li

“…In recent years, convolutional neural networks (CNNs) have achieved notable success in medical image analysis, though their performance typically relies on large-scale, high-quality labeled datasets. …”
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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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