Showing 3,221 - 3,240 results of 14,630 for search '"Image"', query time: 0.10s Refine Results
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    Enhancing intracranial aneurysm rupture risk prediction with a novel multivariable logistic regression model incorporating high-resolution vessel wall imaging by Zihang Wang, Zihang Wang, Chang Yan, Chang Yan, Wenqing Yuan, Wenqing Yuan, Shuangyan Jiang, Shuangyan Jiang, Yongxiang Jiang, Ting Chen

    Published 2025-01-01
    “…ObjectiveThis study aimed to develop and validate a multivariate logistic regression model for predicting intracranial aneurysm (IA) rupture by integrating clinical data, aneurysm morphology, and parent artery characteristics using high-resolution vessel wall imaging (HR-VWI).MethodsA retrospective analysis was conducted on 298 patients with 386 aneurysms. …”
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  4. 3224

    Ambient air pollution exposure in relation to cerebral small vessel disease in Chinese population: A cranial magnetic resonance imaging-based study by Yudiyang Ma, Ying Hui, Linxi Tang, Jianing Wang, Meiqi Xing, Lei Zheng, Feipeng Cui, Shuohua Chen, Shouling Wu, Zhenchang Wang, Yaohua Tian

    Published 2025-03-01
    “…Eligible subjects and their cranial MRI data were obtained from the Multi-modality Medical Imaging Study Based on Kailuan Study, totaling 1216 participants. …”
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  5. 3225

    Identification and Characterization of Novel Perivascular Adventitial Cells in the Whole Mount Mesenteric Branch Artery Using Immunofluorescent Staining and Scanning Confocal Microscopy Imaging by Chandra Somasundaram, Rahul K. Nath, Richard D. Bukoski, Debra I. Diz

    Published 2012-01-01
    “…Thus, a previously characterized vasodilator, calcium sensing autocrine/paracrine system, exists in the perivascular adventitia associated with neural-vascular interface. Images of the whole mount MBA segments were analyzed under scanning confocal microscopy. …”
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    Assessment of Anterior Segment Changes in Pseudophakic Eyes, Using Ultrasonic Biomicroscopic Imaging, after Pars Plana Vitrectomy with Silicone Oil or Gas Tamponade by Erkan Ünsal, Kadir Eltutar, Belma Karini, Osman Kızılay

    Published 2016-01-01
    “…To evaluate the morphological changes of the anterior segment using ultrasonic biomicroscopy (UBM) imaging in pseudophakic patients who underwent pars plana vitrectomy (PPV) with silicone oil or gas (C3F8) internal tamponade agent injection. …”
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  8. 3228

    Routine Surveillance of Upper Urinary Tract Imaging for Diagnosing Upper Urinary Tract Urothelial Cancer Recurrence in Patients with Nonmuscle Invasive Bladder Cancer by Nobutaka Nishimura, Makito Miyake, Tatsuki Miyamoto, Takuto Shimizu, Tomomi Fujii, Yosuke Morizawa, Shunta Hori, Daisuke Gotoh, Yasushi Nakai, Kazumasa Torimoto, Nobumichi Tanaka, Kiyohide Fujimoto

    Published 2024-01-01
    “…Although routine surveillance imaging to examine upper urinary tract urothelial cancer recurrence during follow-up of nonmuscle invasive bladder cancer is recommended, its necessity remains invalidated. …”
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    Algorithm for alerting the unmanned aerial vehicle operator based on the image potential obstacle borders detection on the flight trajectory using the OPEN CV library by V. Yu. Stepanov, E. A. Hvitko

    Published 2019-02-01
    “…First, we give an illustration of the problems on the example of the relief image on topographic maps and the essence of the relief image by horizontal contours. …”
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  11. 3231

    Diagnostic classification in toxicologic pathology using attention-guided weak supervision and whole slide image features: a pilot study in rat livers by Philip Zehnder, Jeffrey Feng, Trung Nguyen, Philip Shen, Ruth Sullivan, Reina N. Fuji, Fangyao Hu

    Published 2025-02-01
    “…Abstract The diagnostic classification of digitized tissue images based on histopathologic lesions present in whole slide images (WSI) is a significant task that eludes modern image classification techniques. …”
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  12. 3232

    COVID-19 Detection Using Deep Convolutional Neural Networks and Binary Differential Algorithm-Based Feature Selection from X-Ray Images by Mohammad Saber Iraji, Mohammad-Reza Feizi-Derakhshi, Jafar Tanha

    Published 2021-01-01
    “…As a result, this paper presents a hybrid approach based on deep convolutional neural networks that are very effective tools for image classification. The feature vectors were extracted from the images using a deep convolutional neural network, and the binary differential metaheuristic algorithm was used to select the most valuable features. …”
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