To construct and validate a risk score model of angiogenesis-related genes to predict the prognosis of hepatocellular carcinoma by Duangui Gao, Yuan Lu, Tianpeng Jiang, Qinghong Duan, Zhi Huang

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Implementation of Accurate and Fast DNA Cytometry by Confocal Microscopy in 3D by Lennert S. Ploeger, André Huisman, Jurryt van der Gugten, Dionne M. van der Giezen, Jeroen A. M. Beliën, Abdelhadi Y. Abbaker, Hub F. J. Dullens, William Grizzle, Neal M. Poulin, Gerrit A. Meijer, Paul J. van Diest

“…Results: The lowest CV (10.3%) was achieved with a protocol without boiling, with 1 hour RNase treatment and TO-PRO-3 iodide staining, and a final image recording at ×60 or ×100 magnifications. A sample size of 300 nuclei was generally achievable. …”
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Enhancement of convolutional neural network for urban environment parking space classification by S. Rahman, M. Ramli, F. Arnia, R. Muharar, M. Ikhwan, S. Munzir

“…Modification of the Convolutional Neural Networks architecture is assumed to increase the work efficiency of the smart parking system in processing parking availability information.METHODS: Research is focusing on developing parking space classification techniques using camera sensors due to the rapid advancement of technology and algorithms in computer vision. The input image has 3x3 dimensions. The first convolution layer accepts the input image and converts it into 56x56 dimensions. …”
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Uncertainty quantification in multi-parametric MRI-based meningioma radiotherapy target segmentation by Lana Wang, Zhenyu Yang, Zhenyu Yang, Dominic LaBella, Zachary Reitman, John Ginn, Jingtong Zhao, Justus Adamson, Kyle Lafata, Kyle Lafata, Kyle Lafata, Evan Calabrese, John Kirkpatrick, Chunhao Wang

“…Gross tumor volumes (GTVs) were contoured by a single experienced radiation oncologist on high-resolution contrast-enhanced T1 MRI scans (T1ce), and both T1 and T1ce images were utilized for segmentation. SPU-Net, an adaptation of U-Net incorporating spherical image projection to map 2D images onto a spherical surface, was proposed. …”
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Penerapan Logika Fuzzy Dan Metode Profile Matching Pada Sistem Pakar Medis Untuk Diagnosis Covid-19 Dan Penyakit Lain by Rusliyawati Rusliyawati, Agus Wantoro, Erliyan Redy Susanto

“…Berbagai macam upaya diagnosis telah dilakukan, seperti Rapid Diagnostic Test (RDT), RT-PCR, CT-Scan Image, dan machine learning, namun masih memiliki beberapa kelemahan. …”
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Deep learning-based CT radiomics predicts prognosis of unresectable hepatocellular carcinoma treated with TACE-HAIC combined with PD-1 inhibitors and tyrosine kinase inhibitors by Linan Yin, Ruibao Liu, Wei Li, Shijie Li, Xunbo Hou

“…Residual convolutional neural network (ResNet) technology was used to extract image features. A predictive model for treatment response of combination therapy and PFS was established based on image features and clinical features. …”
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Clinical efficacy of a virtual reality tool for the treatment of obesity: study protocol of a randomised controlled trial by Dimitra Anastasiadou, Jose Antonio Ramos-Quiroga, Mel Slater, Bernhard Spanlang, Desiderio Cano Porras, Marta Comas, Andreea Ciudin, Gemma Parramon Puig, Julia Vázquez-De Sebastián, Pilar Lusilla-Palacios

“…Readiness to change, BMI, eating habits and physical activity, psychological well-being, body image satisfaction, quality of life in relation to body image, and weight bias internalisation will be assessed at baseline, post intervention, 1-week and 4-week follow-up. …”
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Identifikasi Jenis Biji Kedelai (Glycine Max L) Menggunakan Gray Level Coocurance Matrix (GLCM) dan K-Means Clustering by Rahmat Robi Waliyansyah

“…Applications made using digital image processing, while the segmentation used is the Image L * a * b and K-Means Clustering. …”
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Phytochemical and Bioactivity Evaluation of Bee Pollen and Androecia of <i>Castanea</i>, <i>Salix</i>, and <i>Quercus</i> Species by Nisa Beril Sen, Irena Vovk, Hasan Kırmızıbekmez, Etil Guzelmeric

“…The botanical origins of bee pollen were determined via phytochemical profiling using HPTLC-image analyses showing that bee pollen from the same botanical source had almost identical profiles regardless of collection location, geographical differences, and the bee race. …”
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The Effects of Presenting AI Uncertainty Information on Pharmacists’ Trust in Automated Pill Recognition Technology: Exploratory Mixed Subjects Study by Jin Yong Kim, Vincent D Marshall, Brigid Rowell, Qiyuan Chen, Yifan Zheng, John D Lee, Raed Al Kontar, Corey Lester, Xi Jessie Yang

“…MethodsThirty licensed pharmacists in the United States performed a web-based simulated pill verification task to determine whether an image of a filled medication bottle matched a known reference image. …”
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Upper-tropospheric pollutants observed by MIPAS: geographic and seasonal variations by N. Glatthor, G. P. Stiller, T. von Clarmann, B. Funke, S. Kellmann, A. Linden

“…The same applies for <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M11" display="inline" overflow="scroll" dspmath="mathml"><mrow><mi mathvariant="normal">Δ</mi><mrow class="chem"><msub><mi mathvariant="normal">C</mi><mn mathvariant="normal">2</mn></msub><msub><mi mathvariant="normal">H</mi><mn mathvariant="normal">2</mn></msub></mrow><mo>/</mo><mi mathvariant="normal">Δ</mi><mrow class="chem"><mi mathvariant="normal">HCN</mi></mrow></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="74pt" height="14pt" class="svg-formula" dspmath="mathimg" md5hash="128f7d9050ce8e575a7c502ae96dfcc1"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-25-1175-2025-ie00002.svg" width="74pt" height="14pt" src="acp-25-1175-2025-ie00002.png"/></svg:svg></span></span> in August and for <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M12" display="inline" overflow="scroll" dspmath="mathml"><mrow><mi mathvariant="normal">Δ</mi><mrow class="chem"><mi mathvariant="normal">HCN</mi></mrow><mo>/</mo><mi mathvariant="normal">Δ</mi><mrow class="chem"><mi mathvariant="normal">CO</mi></mrow></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="64pt" height="14pt" class="svg-formula" dspmath="mathimg" md5hash="43d71f300f80f945ad26d496f659c1b5"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-25-1175-2025-ie00003.svg" width="64pt" height="14pt" src="acp-25-1175-2025-ie00003.png"/></svg:svg></span></span> and <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M13" display="inline" overflow="scroll" dspmath="mathml"><mrow><mi mathvariant="normal">Δ</mi><mrow class="chem"><mi mathvariant="normal">HCOOH</mi></mrow><mo>/</mo><mi mathvariant="normal">Δ</mi><mrow class="chem"><mi mathvariant="normal">HCN</mi></mrow></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="89pt" height="14pt" class="svg-formula" dspmath="mathimg" md5hash="f0464ba7c2e02ff6b5c89b131002b1db"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-25-1175-2025-ie00004.svg" width="89pt" height="14pt" src="acp-25-1175-2025-ie00004.png"/></svg:svg></span></span> in October.…”
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Exploring the processes controlling secondary inorganic aerosol: evaluating the global GEOS-Chem simulation using a suite of aircraft campaigns by O. G. Norman, C. L. Heald, C. L. Heald, C. L. Heald, S. Bililign, P. Campuzano-Jost, H. Coe, H. Coe, M. N. Fiddler, J. R. Green, J. L. Jimenez, K. Kaiser, J. Liao, J. Liao, A. M. Middlebrook, B. A. Nault, B. A. Nault, B. A. Nault, J. B. Nowak, J. Schneider, A. Welti

“…., <span class="inline-formula"><i>ε</i></span>(NO<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M9" display="inline" overflow="scroll" dspmath="mathml"><mrow><msubsup><mi/><mn mathvariant="normal">3</mn><mo>-</mo></msubsup><mo>)</mo><mo>=</mo></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="22pt" height="16pt" class="svg-formula" dspmath="mathimg" md5hash="3b35b7ceb952b67a7d90687e397a043a"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-25-771-2025-ie00001.svg" width="22pt" height="16pt" src="acp-25-771-2025-ie00001.png"/></svg:svg></span></span> NO<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M10" display="inline" overflow="scroll" dspmath="mathml"><mrow><msubsup><mi/><mn mathvariant="normal">3</mn><mo>-</mo></msubsup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="9pt" height="16pt" class="svg-formula" dspmath="mathimg" md5hash="78ed0f7e81615226176402cdd6a1afd5"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-25-771-2025-ie00002.svg" width="9pt" height="16pt" src="acp-25-771-2025-ie00002.png"/></svg:svg></span></span> <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M11" display="inline" overflow="scroll" dspmath="mathml"><mo>/</mo></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="8pt" height="14pt" class="svg-formula" dspmath="mathimg" md5hash="165b352473919034209a9d51d0eaf41d"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-25-771-2025-ie00003.svg" width="8pt" height="14pt" src="acp-25-771-2025-ie00003.png"/></svg:svg></span></span> TNO<span class="inline-formula">₃</span>) is challenging to assess given the limited sets of full gas- and particle-phase observations needed for ISORROPIA II. …”
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Proust’s Ruskin: From Illustration to Illumination by Emily Eells

“…This article focuses on Proust’s response to the visual component of Ruskin’s works, highlighting how the Ruskinian dialectic of word and image gave impetus to Proust’s Recherche du temps perdu. …”
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Morphological Heterogeneity of p53 Positive and p53 Negative Nuclei in Breast Cancers Stratified by Clinicopathological Variables by Katrin Friedrich, Volker Dimmer, Gunter Haroske, Wolfdietrich Meyer, Franz Theissig, Berit Thieme, Klaus Dietmar Kunze

“…After the cells had been localised by means of an image cytometry workstation and their immunostaining had been categorised visually, the sections were destained and stained by the Feulgen protocol. …”
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Microbiome role in pancreatic diseases development by Yu. V. Evsyutina, V. T. Ivashkin

“…Intestinal barrier dysfunction, bacterial overgrowth syndrome and endotoxinemia are features of acute pancreatitis. Image-recognition systems (toll-like and NOD-like receptors) and microorganism-associated molecular patterns play important role in these processes. …”
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A LiDAR - camera fusion detection method based on weight allocation by Kang Haotian, Wang Tianshu

“…The weighted fusion method is adopted, image feature points are extracted by Fast RCNN, and then LiDAR point cloud data is fused into the model by the weighted method, environment variables are introduced, and different weight allocation methods are output under different environments through full connection layer preprocessing. …”
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