Search Results - image processing methods

EVALUATING THE EFFECTIVENESS OF PROPHYLACTIC REPLACEMENT THERAPY IN CHILDREN WITH HEMOPHILIC ARTHROPATHY IN DYNAMICS ON MAGNETIC RESONANCE IMAGING by I. S. Remzantseva, V. D. Zavadovskaya, L. M. Ogorodova, Z. A. Maevskaya, O. Yu. Kilina, A. N. Kailina

“…Modifications in treatment guidelines of hemophilic arthropathy changed the role of diagnostic X-ray imaging methods. Diagnostic methods are used both for determination of the degree of joint destruction and long-term evaluation of the joint conditions and therapy adequacy and effectiveness. …”
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Evaluation of Semi-supervised Semantic Segmentation for Remote Sensing, Medical Imaging, and Machine Vision Settings by S. Landgraf, J. Huber, M. Hillemann, M. Ulrich

“…For this reason, we evaluate the foundational Mean Teacher approach together with UniMatch, one of the current state-of-the-art methods, on multiple datasets spanning remote sensing, medical imaging, and machine vision settings. …”
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Automated Crack Width Measurement in 3D Models: A Photogrammetric Approach with Image Selection by Huseyin Yasin Ozturk, Emanuele Zappa

“…Structural cracks can critically undermine infrastructure integrity, driving the need for precise, scalable inspection methods beyond conventional visual or 2D image-based approaches. …”
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Detection of spotted wing drosophila hidden infestation in blueberry using hyperspectral imaging and machine learning by Priyanka Dahiya, Christopher Kucha, Ebenezer Olaniyi, Allison Niu, Ashfaq Sial

“…The images were processed, and the extracted spectral information was preprocessed using a combination of Savitzky-Golay first derivative and standard normal variate methods. …”
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UTSFANet: Unsupervised Two-Stage Fine Adjustment Network for Infrared Remote Sensing Image Stitching by Pengfei Zhang, Jinnan Gong, Tianjun Shi, Guangzhen Bao, Zhile Wang, Shikai Jiang

“…Finally, in the second stage, an image fine adjustment module is applied to process the image background and foreground, further eliminating parallax artifacts and improving registration accuracy. …”
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Deep learning for early detection of papillary bladder cancer on a limited set of cystoscopic images by V. S. Rozova, C. Russo, V. Y. Lekarev, V. V. Kazantseva, A. M. Dymov, A. S. Rzhevskiy, A. V. Zvyagin

“…Each image was additionally processed for model compatibility, with 224×224 pixel images as input to reduce the number of parameters. …”
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Classification of Retinoblastoma Eye Disease on Digital Fundus Images Using Geometric Features and Machine Learning by Arif Setiawan

“…The workflow consisted of (1) fundus image data collection for retinoblastomas, (2) image segmentation, (3) feature extraction process, (4) building a classification model using machine learning, (5) splitting testing and training data, (6) classification process using machine learning methods, and (7) evaluation of classification results using a confusion matrix. …”
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Properties of holographically produced complex spatial filters for real-time deconvolution of blurred ultrasound images by Jan SOMER, Frans JONGSMA

“…All ultrasound pulse-echo imaging systems suffer from limitations of both lateral and axial resolution due to beam-width and pulse-length respectively. …”
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Kinship Recognition based on Deep Scattering Wavelet Convolutional Neural Network on Wild Facial Image by Somayeh Arab Najafabadi, Sara Nazari, Nafiseh Osati Eraghi

“…Kingship verification can be done based on image of face. Most of the methods presented on face images work well on face data sets recorded under controlled conditions. …”
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INFLUENCE OF LABOUR MIGRATION PROCESSES ON THE QUALITY OF HUMAN CAPITAL OF THE RUSSIAN FEDERATION by Victor M. Volodin, Nadezhda V. Volodina, Inna A. Pitaikina

“…Objectives The aim of the study is to identify the impact of labour migration processes on the quality of human capital. Methods For researching the methods and forms of migration capital’s impact on the formation of a new quality of human capital, a systematic approach is applied. …”
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Toward reliable fluorescence imaging: Optical prior-guided probabilistic reconstruction for structured illumination microscopy by Kun Lin, Junkang Dai, Huaian Chen, Yi Jin

“…Furthermore, by leveraging the strong cognition ability of GRL to precisely learn the hierarchical representations of the SIM imaging process, PG-SIM itself also achieves a significant uncertainty reduction compared to current methods, overcoming the constraints of unreliability on the practical application of SIM. …”
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RIS-UNet: A Multi-Level Hierarchical Framework for Liver Tumor Segmentation in CT Images by Yuchai Wan, Lili Zhang, Murong Wang

“…The deep learning-based analysis of liver CT images is expected to provide assistance for clinicians in the diagnostic decision-making process. …”
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Lieutaud’s triangle lesion and urodynamic disorders in bladder cancer according to magnetic resonance imaging data by E. G. Grigor'ev, I. G. Frolova, S. A. Velichko

“…Objective: to estimate the capabilities of magnetic resonance imaging (MRI) in revealing bladder tumor in relation to its sizes and location and in diagnosing concomitant urodynamic disorders.Material and methods. …”
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Impact of Mild Acid and Alkali Treatments on Cotton Fibers with Nonlinear Optical Imaging and SEM Analysis by Huipeng Gao, Xiaoxiao Li, Rui Li, Chao Wang, Hsiang-Chen Chui, Quan Zhang

“…These findings are crucial for optimizing biomass pretreatment methods, demonstrating that dilute chemical treatments primarily affect macrostructural features without significantly disrupting the cellulose microfibrils. …”
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DESIGNING LIGHTING CONTROL CIRCUIT FOR DEVELOPING IMAGE SCANNING DEVICE OF BULLET AND CARTRIDGE CASE TRACE by Hoang Cong Son, Le Duy Tuan, Nguyen Trong Hung, Mai Dang Linh, Dinh Thi Huyen Trang*

“…Besides using traditional optical methods for examining firearm marks, image scanning devices for bullet and cartridge case marks integrated with identification, management, and search software are widely. …”
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Enhanced Collaborative Edge Intelligence for Explainable and Transferable Image Recognition in 6G-Aided IIoT by Chen Chen, Ze Sun, Jiale Zhang, Junwei Dong, Peng Zhang, Jie Guo

“…This paper proposes a novel method, IRCE (Intelligent Recognition with Collaborative Edges), designed to enhance the explainability and transferability in 6G-aided IIoT image recognition. …”
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Robust Feature Matching of Multi-Illumination Lunar Orbiter Images Based on Crater Neighborhood Structure by Bin Xie, Bin Liu, Kaichang Di, Wai-Chung Liu, Yuke Kou, Yutong Jia, Yifan Zhang

“…Lunar orbiter image matching is a critical process for achieving high-precision lunar mapping, positioning, and navigation. …”
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Evaluation of Urban Street Historical Appearance Integrity Based on Street View Images and Transfer Learning by Jiarui Xu, Yunxuan Dai, Jiatong Cai, Haoliang Qian, Zimu Peng, Teng Zhong

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AESTHETICS OF THE LITERARY IN THE PICTURESQUE IMAGES: WILLIAM HOGARTH AND THE ENGLISH LITERARY TRADITION OF THE 19th CENTURY by Anna A. Stepanova

“…Literary reading of the paintings of the artist reveals a number of literary methods with the help of which picturesque images are created: the reception of the speaking name, gestures, facial expressions, poses – everything that organically connects Hogarth’s picturesque portrait and literary, psychological, chronological composition of the series, in which one of the main are the motives of lust and seduction, as well as sacrifices; the time and space of the paintings, built on epic canons – the time of “Marriage A-la-Mode” is represented in two parts – historical and private, the temporal coverage of the paintings is widened by details that simultaneously create the effect of time movement; pictorial and literary intertextual solutions; literary character of the comic without caricatural hyperbole and concentrated on the depiction of a character. …”
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HiImp-SMI: an implicit transformer framework with high-frequency adapter for medical image segmentation by Lianchao Huang, Feng Peng, Binghao Huang, Yinghong Cao

“…In this paper, an implicit transformer framework with a high-frequency adapter for medical image segmentation (HiImp-SMI) is proposed. A new dual-branch architecture is designed to simultaneously process spatial and frequency information, enhancing both boundary refinement and domain adaptability. …”
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