Quantifying the tumour vasculature environment from CD-31 immunohistochemistry images of breast cancer using deep learning based semantic segmentation by Tristan Whitmarsh, Wei Cope, Julia Carmona-Bozo, Roido Manavaki, Stephen-John Sammut, Ramona Woitek, Elena Provenzano, Emma L. Brown, Sarah E. Bohndiek, Ferdia A. Gallagher, Carlos Caldas, Fiona J. Gilbert, Florian Markowetz

“…Methods We propose a method for automatically measuring a range of vascular parameters from CD-31 IHC images, which together provide a detailed description of the vasculature morphology. …”
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Using the Smath Computer Package in School Mathematics Lessons by Valery F. Ochkov, Inna E. Vasileva, Yuliya V. Shatskikh

“…When solving equations, the schoolchildren directly implemented the visualization method using SMath graphical tools. When solving a geometric problem, they used a mathematical modeling method.Results. …”
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Achieving inclusive healthcare through integrating education and research with AI and personalized curricula by Amir Bahmani, Kexin Cha, Arash Alavi, Amit Dixit, Antony Ross, Ryan Park, Francesca Goncalves, Shirley Ma, Paul Saxman, Ramesh Nair, Ramin Akhavan-Sarraf, Xin Zhou, Meng Wang, Kévin Contrepois, Jennifer Li-Pook-Than, Emma Monte, David Jose Florez Rodriguez, Jaslene Lai, Mohan Babu, Abtin Tondar, Sophia Miryam Schüssler-Fiorenza Rose, Ilya Akbari, Xinyue Zhang, Kritika Yegnashankaran, Joseph Yracheta, Kali Dale, Alison Derbenwick Miller, Scott Edmiston, Eva M. McGhee, Camille Nebeker, Joseph C. Wu, Anshul Kundaje, Michael Snyder

“…The AI Data Visualization tool enables learners to interpret multi-omics and wearable data and replicate research findings. …”
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DIAGNOSTICS AND PLANNING OF ORTHODONTIC TREATMENT OF PATIENTS WITH DENTAL ARCH NARROWING USING 3D TECHNOLOGIES by Yu.M. Voliak, Z.R. Ozhohan

“…Conclusions Thus, 3D analysis of models, the proposed technique of measuring and modeling of the clinical situation provide us with a range of advantages over the traditional method of models diagnosis. These advantages include measurement accuracy, reduces number of stone models, the possibility of an archive creating, ease in finding the right model, durability of model storage, better visualization and it does not occupy a lot of space. …”
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Large vessel vasculitis evaluation by CTA: impact of deep-learning reconstruction and “dark blood” technique by Ning Ding, Xi-Ao Yang, Min Xu, Yun Wang, Zhengyu Jin, Yining Wang, Huadan Xue, Lingyan Kong, Zhiwei Wang, Daming Zhang

“…Critical relevance statement Deep-learning-based “dark blood” images improve vessel wall image wall quality and boundary visualization. Key Points Dark blood CTA improves image quality and provides better aortic wall visualization. …”
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THE FIRST EXPERIENCE OF USING 99MTC-1-THIO-D-GLUCOSE FOR SINGLE-PHOTON EMISSION COMPUTED TOMOGRAPHY IMAGING OF LYMPHOMAS by V. I. Chernov, E. A. Dudnikova, R. V. Zelchan, T. L. Kravchuk, A. V. Danilova, A. A. Medvedeva, I. G. Sinilkin, O. D. Bragina, V. E. Goldberg, A. V. Goldberg, I. G. Frolova

“…The purpose of this study was to evaluate the feasibility of using 99mTc-TG SPECT in the detection and staging of malignant lymphoma.Materials and methods. Fifteen patients with newly diagnosed malignant lymphoma  underwent 99mTc-TG SPECT. …”
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LYMPHATIC SYSTEM: A FORGOTTEN AREA? by G. P. Itkin, M. G. Itkin

“…Development of new methods of visualization of the lymphatic system and in the treatment of several pathologies associated with impaired lymph fl ow. …”
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Reconceptualizing rehabilitation research via an enactive framework and a radically interdisciplinary cross-analysis: a study protocol on fatigue in post COVID-19 condition (PCC) by Richard Levi, Ulrika Birberg Thornberg, Ida Blystad, Anestis Divanoglou, David Engblom, Felipe Leon, Sofia Morberg Jämterud, Kristin Zeiler

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Laparoscopic ovum pick up in common marmoset (Callithrix jacchus) by Heejong Eom, So-Min Lee, Dongwook Kim, Dong-Won Seol, Minkyu Kim, Dohyun Lee

“…Duration of operation, recovery time and post-operation treatment period were similar for both methods. There were no significant differences between two methods for any of the variables analyzed. …”
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Remote Monitoring System of Patient Status in Social IoT Environments Using Amazon Web Services Technologies and Smart Health Care by Amer Tahseen Abu-Jassar, Hani Attar, Ayman Amer, Vyacheslav Lyashenko, Vladyslave Yevsieiev, Ahmed Solyman

“…This study investigates the problematic characteristics of contemporary methods for remote and portable patient monitoring. …”
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AI-augmented pathology: the experience of transfer learning and intra-domain data diversity in breast cancer metastasis detection by Manuel Cossio, Nina Wiedemann, Esther Sanfeliu Torres, Esther Barnadas Sole, Laura Igual

“…To enhance interpretability, we developed a visualization tool that employs color-coded probability maps to highlight tumor regions alongside their prediction confidence. …”
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A Comparative Study of Lesion-Centered and Severity-Based Approaches to Diabetic Retinopathy Classification: Improving Interpretability and Performance by Gang-Min Park, Ji-Hoon Moon, Ho-Gil Jung

“…Finally, we evaluate decision-making differences between labeling methods using visualization techniques. We benchmarked the lesion-centered NMC dataset against the severity-based public Asia Pacific Tele-Ophthalmology Society (APTOS) dataset, conducting experiments with EfficientNet—a convolutional neural network architecture—and diverse classification strategies. …”
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A workflow for extended reality-based learning in engineering education by Simone Luca Pizzagalli, Kashif Mahmood, Rostyslav Boychuk, Tauno Otto, Vladimir Kuts

“…The second focuses on the visualization and learning of direct kinematics methods for an industrial robotic arm.…”
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Bridging the Gap: Harnessing the Power of Machine Learning and Big Data for Media Research by Li-jing Arthur Chang

“…It covers topics such as principles of machine learning relevant to media studies, integration of computational methods with media research, data collection and preprocessing techniques, visualization of research findings, machine learning research tools, data quality and bias, ethical considerations, cross-disciplinary skills and knowledge, and best practices in data-driven research. …”
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Wind tunnel test research for influence of passive flow control technology on low speed characteristics of civil transport aircraft by YAN Wei, WANG Qimin, LI Jinye, XU Huiwen, ZHAO Keliang, BAI Feng, ZHANG Meihong, JIAO Renshan, WANG Fei, ZENG Weiping

“…The best combination scheme that can optimize the lowspeed characteristics is found：small size wing-body fairing plus outboard nacelle strake "A"；the area where the flow separation is suppressed by the optimization method is presented through the flow visualization test. …”
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Force Measurement Technology of Vision‐Based Tactile Sensor by Bin Fang, Jie Zhao, Nailong Liu, Yuhao Sun, Shixin Zhang, Fuchun Sun, Jianhua Shan, Yiyong Yang

“…Further, branches of each method are analyzed in terms of input types. Combined with measuring range and precision, the correlation of sensor design, materials, and recognition methods to force measurement performance is further discussed. …”
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Linking multivariate trait variation to the environment: the advantages of double constrained correspondence analysis with the R package douconca by Cajo J.F. ter Braak, Bart-Jan van Rossum

“…It extends joint species distribution modelling and species-environment relationship studies by incorporating trait data. Traditional methods include RLQ ordination, fourth-corner correlation analysis, and community-weighted means (CWM) regression, with generalized linear mixed models (GLMM) also being used.Through three case studies, we demonstrate that double-constrained correspondence analysis (dc-CA), an ordination method with biplot visualization, is a competitive alternative. …”
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TICTAC: target illumination clinical trial analytics with cheminformatics by Jeremiah I. Abok, Jeremy S. Edwards, Jeremy J. Yang

“…To overcome these limitations, an integrated approach is required that consolidates evidence from diverse data sources to support the effective prioritization of biological targets for further research.MethodsWe developed a comprehensive data integration and visualization pipeline to infer and evaluate associations between diseases and known and potential drug targets. …”
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Machine Learning-Based Harvest Date Detection and Prediction Using SAR Data for the Vojvodina Region (Serbia) by Gordan Mimić, Amit Kumar Mishra, Miljana Marković, Branislav Živaljević, Dejan Pavlović, Oskar Marko

“…Clustering of harvested and unharvested fields was performed with Principal Component Analysis, multidimensional scaling and t-distributed Stochastic Neighbour Embedding, for initial cluster visualization. It is shown that the separability of unharvested and harvested data in two-dimensional space does not depend on the selected method but more on the crop itself. …”
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Earthworm (<i>Eisenia fetida</i>) Mediated Macropore Network Formation in Black Soil: Decay Straw as a Trigger for Sustainable Tillage by Baoguang Wu, Pu Chen, Yuping Liu, Zhipeng Yin, Qiuju Wang, Shun Xu, Jinsong Zhang, Bingqi Bai, Deyi Zhou, Yuxin Liu

“…In this study, a method for creating networked macropores through tillage using <i>Eisenia fetida</i> attracted by food sources derived from decomposing straw was proposed. …”
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