Search Results - image processing methods

The preliminary diffusion tensor imaging study of cerebral microstructure in the acute phase of brain concussion by A. V. Manzhurtsev, O. R. Vasyukova, P. E. Menshchikov, M. V. Ublinskiy, I. A. Melnikov, T. A. Akhadov, N. A. Semenova

“…Philips Achieva dStream 3T magnetic resonance imager was used. Diffusion tensor imaging data were processed in the Philips Intellispace Portal program in the Fibertrack section.Results. …”
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Image of Your Own Body, Sense of Isolation and Quality of Life in Patients with Gynecological Cancers by A. A. Ovchinnikov, A. N. Sultanova, T. Yu. Sycheva, S. V. Akimova, E. V. Tagiltseva, N. A. Savinkova

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Quantification of Flavonoid Contents in Holy Basil Using Hyperspectral Imaging and Deep Learning Approaches by Apichat Suratanee, Panita Chutimanukul, Kitiporn Plaimas

“…Traditional quantification methods rely on time-consuming and destructive extraction processes, whereas hyperspectral imaging provides a rapid, non-destructive alternative by analysing spectral signatures. …”
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Bi-temporal Gaussian feature dependency guided change detection in remote sensing images by Yi Xiao, Bin Luo, Jun Liu, Xin Su, Wei Wang

“…However, existing CD methods still struggle to mitigate pseudo-changes resulting from domain information differences in multi-temporal images and instances of detail errors caused by the loss and contamination of detail features during the upsampling process in the network. …”
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Deep learning-based classification of multiple fundus diseases using ultra-widefield images by Ming-Ming Duan, Xiang Tu

“…PurposeThis study aimed to develop a hybrid deep learning model for classifying multiple fundus diseases using ultra-widefield (UWF) images, thereby improving diagnostic efficiency and accuracy while providing an auxiliary tool for clinical decision-making.MethodsIn this retrospective study, 10,612 UWF fundus images were collected from the JiuJiang No. 1 People’s Hospital and the Seventh Affiliated Hospital, Sun Yat-sen University between 2020 and 2025, covering 16 fundus diseases, including normal fundus, nine common eye diseases, and six rare retinal conditions. …”
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CSA-Net: Complex Scenarios Adaptive Network for Building Extraction for Remote Sensing Images by Dongjie Yang, Xianjun Gao, Yuanwei Yang, Minghan Jiang, Kangliang Guo, Bo Liu, Shaohua Li, Shengyan Yu

“…The visual comparison results demonstrate that our method can enhance the accuracy of building extraction in complex scenes. …”
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Magnetic resonance imaging in terms of observation of patients after transanal resections of rectal tumors by S. A. Myalina, T. P. Berezovskaya, A. A. Nevolskikh, V. A. Avdeenko, S. A. Ivanov, A. D. Kaprin

“…Was to study the results of magnetic resonance imaging (MRI) of the patients with malignant neoplasms (MN) of the rectum after transanal full‑layer resection of the tumor.Materials and methods. …”
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Magnetic Resonance Imaging in the Diagnosis of Aortic Wall Elastic Properties Disorders and Its Hemodynamics by K. R. Bril, A. A. Pronkin, T. N. Galyan, V. V. Khovrin

“…A number of biomechanical parameters determined by aortic MRI demonstrates the process of its wall remodeling, so their analysis will allow to develope an algorithm for the early diagnosis of aneurysms and the threat of acute aortic syndrome.Objective: using aortic MRI data, to evaluate the aortic biomechanical parameters and hemodynamics at pre- and postoperative stages and their impact on the occurrence of complications and relapses in the long-term period.Material and methods. …”
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ON THE CHANGE OF VALUES OF POSTNOMINATIVE APPENDICES IN THE PROCESS OF TRANSFORMATION IN THE MODERN ENGLISH by Sevil M. Radjabova

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Hyperparameter tuned deep learning-driven medical image analysis for intracranial hemorrhage detection. by Naif Almakayeel, E Laxmi Lydia, Oleg Razzhivin, S Rama Sree, Mohammed Altaf Ahmed, Bibhuti Bhusan Dash, S P Siddique Ibrahim

“…To increase the efficiency of the EfficientNet method, the hyperparameter tuning process is performed by utilizing the chimp optimizer algorithm (COA) method. …”
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Securing digital images: A chaos-driven scrambling algorithm using the Rössler system. by Nasreen Zulfiqar, Tauqir Ahmad, Taher M Ghazal, Atif Ikram, Foziah Gazzawe, Marwan Ali Albahar, Abdelrahman H Hussein, Ahmad Salman Khan

“…This research introduces a novel scrambling algorithm that employs a row- and column-based scrambling approach. The encryption process begins with an input image, from which a 2D scrambled image is generated. …”
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Semi-natural modelling in the analysis of the discriminatory characteristics of the image sensor with the exponential correlation function by Vladimir Pavlovich Gerasimov, Vladimir Danilovich Kovalyov, Sergey Vladimirovich Gerasimov, Alexander Yur'yevich Darzhanija

“…For the mathematical description of the correlation function of the processed image to channel discriminator is adopted an exponential form, given in the literature. …”
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A Secure Image Steganography Using Shark Smell Optimization and Edge Detection Technique by Omar Y. Abdulhammed, Pshtiwan J. Karim, Dashne R. Arif, Twana S. Ali, Avin O. Abdalrahman, Arkan A. Saffer

“…The experimental outcomes appreciated utilizing several image fitness appreciation fashion, it displays best hiding ability, achieve higher image quality with least standard of deformation and provide altitude standard of secrecy, also the results shows that the suggested method exceeds previous approaches in idioms of the PSNSR, MSE also demonstrate that the mystery information cannot be retrieved of the stego image without realizing the algorithms and the values of parameters that are used in hidden process …”
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Removing Stripe Noise From Infrared Cloud Images via Deep Convolutional Networks by Pengfei Xiao, Yecai Guo, Peixian Zhuang

“…Moreover, we extend our method to remove rain streaks from single images, which provides a new idea for rain-removal task. …”
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Hybrid Wavelet-Attention Model for Detecting Changes in High-Resolution Remote Sensing Images by Lhuqita Fazry, MGS M. Luthfi Ramadhan, Alif Wicaksana Ramadhan, Muhammad Febrian Rachmadi, Aprinaldi Jasa Mantau, Lukito Edi Nugroho, Chi-Hung Chi, Wisnu Jatmiko

“…Besides reducing the data, DWT decomposition also serves to extract important features that represent images so that the initial data can be approximated through the Inverse Discrete Wavelet Transform (IDWT) process. …”
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DIAGNOSTIC RESULTS AND TREATMENT OF INTERNAL TMJ DISORDERS UNDER CONTROL OF MAGNETIC RESONANCE IMAGING by V. Shybinskyi

“…The optimal protocol of MRI of TMJ examination has been processed and explored to detect magnetic resonance images of internal disorders in the TMJ, which gave the most accurate information sufficient to choose an adequate treatment plan and evaluate the results with the use of special primary coil for magnetic resonance imager SIGNA CONTOUR by firm GE magnetic field of 0.5 T. …”
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Nanobubbles based on repeated compression for contrast-enhanced ultrasound (CEUS) imaging of renal fibrosis by Zhang Chenyi, Chen Tiandong, Yang Fang

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RETRACTED: Metaphorical Image of Future of Russia in Context of Constitutional Reform of 2020 (French Media) by R. I. Zaripov, E. V. Budaev

“…RETRACTED ARTICLEThe article examines the cognitive patterns of the representation of the image of the future of Russia in the French media (Le Monde, L’Express, Le Point, RFI, Libération, Le Nouvel Observateur). …”
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SmartSeg: machine learning infrastructure software for accelerating medical image segmentation in patient-specific applications by William Burton, Kalin Gibbons, Keaghan Economon

“…Computer vision algorithms based on machine learning have emerged as an effective tool for accelerating medical image processing tasks through automation. The current work describes fully no-code software which supports development of custom machine learning models for automatic segmentation of volumetric medical images. …”
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Classification of diabetic retinopathy stages based on neural networks by M. M. Lukashevich, Y. I. Golub

“…Diabetic retinopathy can be detected much faster and more accurately by using machine learning methods for image analyzing of the human retina. The development of methods and algorithms for the detection and classification of this disease, the automation of this process are the actual and costeffective goals.The article focuses on the classification of the stages of diabetic retinopathy using neural networks based on human retinal images. …”
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