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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Unmasking the Imitators: Challenges in Identifying Intracranial Atherosclerosis‐Related Large Vessel Occlusion Mimics During Mechanical Thrombectomy by Aaron Rodriguez‐Calienes, Fazeel M. Siddiqui, Juan Vivanco‐Suarez, Sophie Shogren, Milagros Galecio‐Castillo, Mahmoud Dibas, Aditya S. Pandey, Marc Ribo, Santiago Ortega‐Gutierrez

“…Future perspectives include the incorporation of advanced imaging tools such as integration of artificial intelligence for automated image analysis, and deployment of advanced imaging techniques such as intravascular ultrasound and optical coherence tomography for a more comprehensive radiographical characterization of ICAS‐LVO. …”
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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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Bruch´s membrane thickness in relationship to axial length. by Hai Xia Bai, Ying Mao, Ling Shen, Xiao Lin Xu, Fei Gao, Zhi Bao Zhang, Bin Li, Jost B Jonas

“…Using light microscopy, the histological slides were histomorphometrically examined applying a digitized image analysis system.<h4>Results</h4>The study included 104 eyes with a mean axial length of 27.9±3.2 mm (range:22.6mm-36.5mm). …”
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Waterbirds habitat mapping using unmanned aerial vehicle in Belawan Mangrove Ecosystems, North Sumatera, Indonesia by Thoha Achmad Siddik, Fauziyah Laely Nur, Jumilawaty Erni, Marwan Mochammad Akbar

“…Furthermore, aerial photo processing and Object-Based Image Analysis (OBIA) of the mapping results through UAVs are carried out. …”
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A comprehensive classification and analysis of oily sensitive facial skin: a cross-sectional study of young Chinese women by Xinjue Kuang, Caini Lin, Yuanyuan Fu, Yuhui Wang, Junhua Gong, Yong Chen, Youting Liu, Fan Yi

“…Noninvasive capture of biophysical measures and image analysis yielded 104 parameters. Key classification parameters were identified through mechanisms and characteristics, with thresholds set via statistical methods. …”
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Using drone for chemical control of cabbage aphid, Brevicoryne brassicae L. (Hemiptera: Aphididae) in canola fields by Roghaiyeh Karimzadeh, Elsa Tabatabaie, Mir Jalil Hejazi, Saeid Behmaram

“…Results demonstrated that aerial spraying with drone was significantly more efficient, achieving two to six times higher efficacy against cabbage aphids than ground spraying, as measured by the reduction in aphid populations. Image analysis of water-sensitive cards indicated that drones produced finer droplets with smaller volume median diameters. …”
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Automated Breast Cancer Detection in Mammograms using Transfer Learningbased Deep Learning Models by Preeti Katiyar, Krishna Singh

“…Materials and Methods: The dataset obtained from the Mammographic Image Analysis Society (MIAS) was categorised into three distinct categories: benign, malignant and normal. …”
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Pixel and region-oriented classification of Sentinel-2 imagery to assess LULC dynamics and their climate impact in Nowshera, Pakistan by Farnaz, Nuthammachot Narissara, Shabbir Rabia, Iqbal Benazeer

“…The study states that for the assessment of LULC changes in Nowshera, the region-oriented image analysis provides a higher level of classification accuracy than the pixel-based approach. …”
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PLZero: placeholder based approach to generalized zero-shot learning for multi-label recognition in chest radiographs by Chengrong Yang, Qiwen Jin, Fei Du, Jing Guo, Yujue Zhou

“…Abstract By leveraging large-scale image-text paired data for pre-training, the model can efficiently learn the alignment between images and text, significantly advancing the development of zero-shot learning (ZSL) in the field of intelligent medical image analysis. However, the heterogeneity between cross-modalities, false negatives in image-text pairs, and domain shift phenomena pose challenges, making it difficult for existing methods to effectively learn the deep semantic relationships between images and text. …”
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Automation of image processing through ML algorithms of GRASS GIS using embedded Scikit-Learn library of Python by Polina Lemenkova

“…Though each algorithms was developed to serve different objectives of ML applications in RS data processing, their technical implementation and practical purposes present valuable approaches to cartographic data processing and image analysis. The results shown that the most time-consuming algorithms was noted as SVM classification, while the fastest results were achieved by the GaussianNB approach to image processing and the best results are achieved by RF Classifier.…”
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Brain Tumor Detection and Classification Using IFF-FLICM Segmentation and Optimized ELM Model by Suvashisa Dash, Mohammed Siddique, Satyasis Mishra, Demissie J. Gelmecha, Sunita Satapathy, Davinder Singh Rathee, Ram Sewak Singh

“…Brain tumor detection and classification have become challenging and time-consuming for domain-specific radiologists and pathologists in medical image analysis. So, automatic detection and classification are essential to reduce the time of diagnosis. …”
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Evaluation of marginal accuracy of polyetheretherketone and zirconia copings fabricated using computer-aided design/computer-aided manufacturing technique: An in vitro study by Manish Jangade, Ranu Sharma, Nishanth A. Sudharson, Raj Jain, Shailendra Kumar Sahu, Anurag Dani

“…Vertical marginal accuracy was assessed with a stereomicroscope and image analysis software at ×20 magnification. The marginal gaP values were subjected to a student (independent) t-test for statistical analysis. …”
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A deep learning method for differentiating safflower germplasm using optimal leaf structure features by Hoang Thien Van, Phuong Thuy Khuat, Trang Van, Thai Thanh Tuan, Yong Suk Chung

“…These findings demonstrate that leaf image analysis is an effective and affordable tool for investigating the phenotypic diversity among safflower cultivars. …”
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