steganography in colored images based on biometrics by Zeena Nabeel Jameel AL-Kateeb, Marriam Raad Jasim Mohammed AL-Bazaz

“…Therefore this research has provided a suggested algorithm to hide confidential data in colorful images based on the features of engineering dimensions of the human hand as one of the types of biometrics; we extracted a set of these characteristics and processed them to build a matrix that specifies the map of the distribution of confidential data in the cover image. The proposed method was applied to a set of images to hide a set of confidential messages and the visual quality of the cover image was not affected after the concealment. …”
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Case–Control Study of Toric Intraocular Lens Implantation in Congenital Cataract by Lukpan Orazbekov, Neilya Aldasheva, Aidana Sutbayeva, Kairat Ruslanuly

“…Methods: This case–control study was performed on 37 eyes of 37 children older than six years with visually significant congenital cataracts and corneal astigmatism greater than 1.75 diopters (D). …”
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Arteficial monoblock lenses implantation following rupture of posterior capsule during phacoemulsification surgery by Avramović Siniša, Vukosavljević Miroslav, Janićijević-Petrović Mirjana, Petrović Nenad, Resan Mirko

“…The aim of this study was to evaluate results of monoblock arteficial lens implantation in sulcus on the remains of anterior capsule and capsulorhexis after posterior capsule rupture during phacoemulsification. Methods. This prospective, non-comparative study included 19 patients with rupture of posterior capsule as a result of cataract operation with phacoemulsification method. …”
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TextSCD: Leveraging Text-based Semantic Guidance for Remote Sensing Image Semantic Change Detection by H. Huang, Q. Cheng, Q. Cheng, D. Zhu, X. Huang, Q. Zhao

“…Despite significant advancements in deep learning leading to numerous successful approaches, most existing methods primarily rely on visual representation learning, thereby overlooking the potential benefits of multimodal data. …”
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Semantic–Spatial Feature Fusion With Dynamic Graph Refinement for Remote Sensing Image Captioning by Maofu Liu, Jiahui Liu, Xiaokang Zhang

“…Remote sensing image captioning aims to generate semantically accurate descriptions that are closely linked to the visual features of remote sensing images. Existing approaches typically emphasize fine-grained extraction of visual features and capturing global information. …”
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ULTRASOUND STUDY OF PATIENTS WITH KELOID SCARS OF THE MAXILLOFACIAL AREA by D. S. Avetikov, O. P. Bukhanchenko, V. V. Aipert, K. P. Lokes

“…Today, there is no universal method for differential diagnosis of various types of scars of the head and neck. …”
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Rewarding animals based on their subjective percepts is enabled by online Bayesian estimation of perceptual biases. by Yelin Dong, Gabor Lengyel, Sabyasachi Shivkumar, Akiyuki Anzai, Grace F DiRisio, Ralf M Haefner, Gregory C DeAngelis

“…Starting with an informative prior, our Bayesian method updates a posterior over the perceptual bias after each trial. …”
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Three-Dimensional Plant Model Development Through Image Recognition by Yuya Hosoda, Ganzurkh Bilguun, Jin Oboshi, Hitoshi Goto

“…This paper proposes a novel method using image-recognition techniques to develop three-dimensional (3D) models of basil plants. …”
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EXPERIENCE OF CLINICAL USE OF ULTRASOUND GUIDANCE FOR CERVICAL PLEXUS BLOCK IN RECONSTRUCTIVE CAROTID SURGERY by V. M. Kraynik, D. I. Novikov, A. Yu. Zaytsev, S. P. Kozlov, Yu. V. Deshko, A. V. Gavrilenko, A. V. Kuklin

“…However, its use is associated with the risk of puncture of large vessels of the neck and resulting complications: unintentional intravascular administration of a local anesthetic and formation of a hematoma.The objective: to demonstrate the advantages and effectiveness of superficial cervical plexus block with the use of ultrasound guidance in carotid surgery.Subjects and methods. The method of inplane ultrasound-guided single-insertion was used. …”
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Novel Computer Software for Interpolation and Approximation of Ravine and Stiff Digital Dependencies Using Root-Polynomoal and Root-Fractional-Rational Functions by Igor Melnyk, Mykhailo Skrypka, Alina Pochynok, Olga Demyanchenko

“…With a small number of points in the data set for the approximation problem, equal to twenty or less, the convergence of the proposed method is usually guaranteed. …”
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Deep learning-based automated segmentation for the quantitative diagnosis of cerebral small vessel disease via multisequence MRI by Huiyu Zhao, Miaoyi Zhang, Weijun Tang, Luyuan Jin, Jie Tang, Langfeng Shi, Xiao Deng, Jianhui Fu, Weiwen Zou

“…We aimed to develop an automated segmentation method based on deep learning (DL) to quantify the typical neuroimaging markers of CSVD on multisequence magnetic resonance imaging (MRI).Materials and methodsMRI scans from internal (July 2018 to July 2022) and external (November 2012 to January 2015) datasets were analyzed. …”
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Distributed constraint optimization for discrete-time multiagent systems with event-triggered communication by Mingxia Gu, Zhiyong Yu, Haijun Jiang

“…Firstly, by employing the Lagrange multiplier method, we convert the convex optimization problem with equality constraint into a consensus problem of MASs. …”
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SOI: shape optimization framework for hand-drawn line features in Wemap by Ben Ma, Haowen Yan, Jingzhong Li, Yanzhe Sun, Zhuo Wang, Xiaolong Wang

“…Hand-drawing via touchscreen is the primary method for generating Wemaps. However, due to finger occlusion and screen resolution limitations, user-drawn line features have an irregular shape and an uneven density of point coordinates composing a line, leading a we-map has a challenge in ensuring both visual appeal and informational clarity. …”
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Assessment of resection margins during breast-conserving surgery using multimodal optical coherence tomography by D. A. Vorontsov, E. V. Gubarkova, M. A. Sirotkina, A. A. Sovetskiy, S. N. Aleksakhina, T. T. Tabagua, E. A. Busko, E. N. Imyanitov, S. S. Kuznetsov, A. Yu. Vorontsov, E. V. Zagaynova, S. V. Gamayunov, V. Yu. Zaytsev, P. V. Krivorotko, N. D. Gladkova

“…Among the 132 studied resection margins in 6 cases, the positive resection margin was determined by the OCE method, which was subsequently confirmed histologically. …”
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Impact of training data composition on the generalizability of convolutional neural network aortic cross-section segmentation in four-dimensional magnetic resonance flow imaging by Chiara Manini, Markus Hüllebrand, Lars Walczak, Sarah Nordmeyer, Lina Jarmatz, Titus Kuehne, Heiko Stern, Christian Meierhofer, Andreas Harloff, Jennifer Erley, Sebastian Kelle, Peter Bannas, Ralf Felix Trauzeddel, Jeanette Schulz-Menger, Anja Hennemuth

“…This paper explores the potential of deep learning to improve 4D flow CMR segmentation by developing models for automatic segmentation and analyzes the impact of the training data on the generalization of the model across different sites, scanner vendors, sequences, and pathologies. Methods: The study population consists of 260 4D flow CMR datasets, including subjects without known aortic pathology, healthy volunteers, and patients with bicuspid aortic valve (BAV) examined at different hospitals. …”
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Perceptual objective evaluation for multimodal medical image fusion by Chuangeng Tian, Juyuan Zhang, Lu Tang

“…Experimental results demonstrate that our method produces a satisfactory consistent with subjective perception, superior to the state-of-the-art quality evaluation methods. …”
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Research on the Digital Twin System for Rotation Construction Monitoring of Cable-Stayed Bridge Based on MBSE by Yuhan Zhang, Yimeng Zhao, Zhiyi Li, Wei He, Yi Liu

“…Based on SysML language, the system’s requirements, functions, behaviors, and other aspects are modeled and analyzed using the MBSE approach, converting all textual specifications into the unified visual models. Compared to the traditional document-driven method, MBSE improves design efficiency by reducing ambiguities in system specifications and enabling early detection of design flaws through simulations. …”
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FCA-STNet: Spatiotemporal Growth Prediction and Phenotype Extraction from Image Sequences for Cotton Seedlings by Yiping Wan, Bo Han, Pengyu Chu, Qiang Guo, Jingjing Zhang

“…To address the limitations of the existing cotton seedling growth prediction methods in field environments, specifically, poor representation of spatiotemporal features and low visual fidelity in texture rendering, this paper proposes an algorithm for the prediction of cotton seedling growth from images based on FCA-STNet. …”
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Cross-Modal Data Fusion via Vision-Language Model for Crop Disease Recognition by Wenjie Liu, Guoqing Wu, Han Wang, Fuji Ren

“…While most existing deep learning-based methods focus primarily on image datasets for disease recognition, they often overlook the complementary role of textual features in enhancing visual understanding. …”
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Cataract and progressing keratoconus — solution? by K. B. Pershin, E. P. Gurmizov

“…Purpose: To develop an uniform method of the treatment for patients with progressive keratoconus (stage 1‑2) and cataract. …”
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