Artificial intelligence and big data integration in anterior segment imaging for glaucoma by Sunee Chansangpetch, Mantapond Ittarat, Wisit Cheungpasitporn, Shan C. Lin

“…The review focuses on advancements in AI, including machine learning and deep learning, which enhance image analysis and automate complex processes in glaucoma care, and provides current evidence on the performance and clinical applications of these technologies. …”
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TuSegNet: A Transformer-Based and Attention-Enhanced Architecture for Brain Tumor Segmentation by Mir Nafiul Nagib, Rahat Pervez, Afsana Alam Nova, Hadiur Rahman Nabil, Zeyar Aung, M. F. Mridha

“…The proposed methodology improves segmentation accuracy and highlights the importance of hybrid architectures in handling complex medical imaging tasks. These developments underscore the potential of TuSegNet for real-world healthcare applications in brain tumor diagnosis.…”
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An innovative deep learning framework for skin cancer detection employing ConvNeXtV2 and focal self-attention mechanisms by Burhanettin Ozdemir, Ishak Pacal

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Efficient CNN architecture with image sensing and algorithmic channeling for dataset harmonization by Khadija Kanwal, Khawaja Tehseen Ahmad, Aiza Shabir, Li Jing, Helena Garay, Luis Eduardo Prado Gonzalez, Hanen Karamti, Imran Ashraf

“…This contribution finally endorses its standing at the peak of deep and complex image sensing analysis. A state-of-the-art deep image sensing analysis method delivers optimal channeling accuracy together with robust dataset harmonization performance.…”
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A Color Image Encryption Scheme Based on a Novel 3D Chaotic Mapping by Chunyuan Liu, Qun Ding

“…Then, a new color image encryption algorithm is proposed based on the new chaotic mapping. …”
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Statistical dynamics of flowing red blood cells by morphological image processing. by John M Higgins, David T Eddington, Sangeeta N Bhatia, L Mahadevan

“…We analyze these interactions using computational morphological image analysis and machine learning algorithms to quantify the non-equilibrium fluctuations of cellular velocities in a minimal, quasi-two-dimensional microfluidic setting that enables high-resolution spatio-temporal measurements of blood cell flow. …”
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Unraveling Spatial Heterogeneity in Mass Spectrometry Imaging Data with GraphMSI by Lei Guo, Peisi Xie, Xionghui Shen, Thomas Ka Yam Lam, Lingli Deng, Chengyi Xie, Xiangnan Xu, Chris Kong Chu Wong, Jingjing Xu, Jiacheng Fang, Xiaoxiao Wang, Zhuang Xiong, Shangyi Luo, Jianing Wang, Jiyang Dong, Zongwei Cai

“…Numerous results demonstrate the robustness of these two modes, ensuring that GraphMSI consistently retains its capability to identify biologically relevant sub‐regions in complex practical applications. It is anticipated that GraphMSI will become a powerful tool for spatial heterogeneity analysis in MSI data.…”
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The Effect Of Focus Error And Spherical Aberration On Sharp Edge Image Intensity by Safaa Mustafa Hameed

“…The main aim of this research is testing the Optical Systems which use Coherent light and make decision of this Systems validity range. we found that using the exit pupil technique is useful to calculate the complex intensity also the analysis capability when using coherent light is better than the incoherent light and the relation between the focus error and the quantity of aberration.  …”
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Evaluation of Image Segmentation Methods for In Situ Quality Assessment in Additive Manufacturing by Tushar Saini, Panos S. Shiakolas, Christopher McMurrough

“…Quality assessment, especially for the interior part geometry, relies on post-print inspection techniques unsuitable for real-time in situ analysis. Vision-based approaches could be employed to capture images of any layer during fabrication, and then segmentation methods could be used to identify in-layer features in order to establish dimensional conformity and detect defects for in situ evaluation of the overall part quality. …”
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HTML5-based graphic image processing and collaborative drawing technology by Yinghua Liang

“…The simulation analysis is carried out on MATLAB, and different image compression algorithms are used for comparison. …”
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Media Image of the Region and Features of its Formation (The Case of the Republic of Mordovia) by Ksenia V. Dementieva, Diana A. Bakeeva, Natalya M. Frolova

“…The article contains a content analysis of positive and negative markers of everyday life that influence the formation of the image of the region. …”
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Thangka image captioning model with Salient Attention and Local Interaction Aggregator by Wenjin Hu, Fujun Zhang, Yinqiu Zhao

“…The model is designed with a Dual-Branch Salient Attention Module (DBSA) to accurately capture the expressions, decorations of the deity, and descriptive background elements, and it introduces a Local Interaction Aggregator (LIA) to achieve detailed analysis of the characters’ actions, facial expressions, and the complex interactions with surrounding elements in Thangka images. …”
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Research on Medical Image Segmentation Based on SAM and Its Future Prospects by Kangxu Fan, Liang Liang, Hao Li, Weijun Situ, Wei Zhao, Ge Li

“…While direct application of SAM to complex, multimodal, and multi-target medical datasets may not yet yield optimal results, insights from these efforts provide crucial guidance for developing foundational models tailored to the intricacies of medical image analysis. …”
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The clinical implications and interpretability of computational medical imaging (radiomics) in brain tumors by Yixin Wang, Zongtao Hu, Hongzhi Wang

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An OGFA+CNN Approach for Multi-Level Disease Identification in Fundus Images by Preethi Kulkarni, K. Srinivasa Reddy

“…Timely and accurate diagnosis through fundus image analysis enables prompt intervention, personalized treatment, and better patient outcomes. …”
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SSATNet: Spectral-spatial attention transformer for hyperspectral corn image classification by Bin Wang, Gongchao Chen, Juan Wen, Linfang Li, Songlin Jin, Yan Li, Ling Zhou, Weidong Zhang

“…Hyperspectral images are rich in spectral and spatial information, providing a detailed and comprehensive description of objects, which makes hyperspectral image analysis technology essential in intelligent agriculture. …”
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Images of Priesthood and Monasticism in the Works of John Chrysostom: Rhetoric and Historical Reality by Yuliia Rozumna

“…The article provides a comparative analysis of the attitude to priests and monks, the manifestations of which can be found in the works of the outstanding thinker and theologian, representative of patristics, John Chrysostom (347–407 A. …”
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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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Transforming tabular data into images via enhanced spatial relationships for CNN processing by Hameedah A. Alenizy, Jawad Berri

“…Abstract Convolutional neural networks (CNNs), renowned for their efficiency in image analysis, have revolutionized pattern and structure recognition in visual data. …”
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Occult breast cancer. Literature review and case series by О. S. Khodorovich, V. A. Solodkiy, A. A. Kalinina-Masri, О. Р. Bliznyukov, T. V. Sherstneva, I. A. Lazukina, L. B. Kanakhina

“…Taking into account the analysis of methods for the diagnosis and treatment of occult BC, it is important that this form of the disease is detected at a later stage. …”
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