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  1. 2461

    Renal pelvic urothelial carcinoma with imaging features presenting as renal infarction 1 case report and literature review by Haidong Yang, Wenli Yang, Nanjun Duan, Jing Luo, Zhengyan Yang, Weiran Zhang, Wei Feng, Haifeng Wang

    Published 2025-03-01
    “…We here report a case of renal pelvic urothelial carcinoma with squamous metaplasia with renal infarction as the main imaging feature, and summarize the imaging manifestations of some rare renal pelvic carcinomas. …”
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  2. 2462

    Multi-scale channel attention U-Net: a novel framework for automated gallbladder segmentation in medical imaging by Yiming Zhou, Xiaobo Wen, Xiaobo Wen, Kang Fu, Meina Li, Lin Sun, Xiao Hu

    Published 2025-01-01
    “…ObjectivesTo develop a novel automatic delineation model, the Multi-Scale Channel Attention U-Net (MCAU-Net) model, for gallbladder segmentation on CT images of patients with liver cancer.MethodsWe retrospectively collected the CT images from 120 patients with liver cancer, based on which ground truth was manually delineated by physicians. …”
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  3. 2463

    Multichrome encoding-based multiplexed, spatially resolved imaging reveals single-cell RNA epigenetic modifications heterogeneity by Dongsheng Mao, Xiaochen Tang, Runchi Zhang, Song Hu, Hongquan Gou, Penghui Zhang, Wenxing Li, Qiuhui Pan, Bing Shen, Xiaoli Zhu

    Published 2025-01-01
    “…As an innovative epigenetic modification imaging tool, PREEM not only broadens the horizons of single-cell epigenetics research, enabling joint analysis of multiple targets beyond the limitations of imaging channels, but also reveals cell-to-cell variability, thereby enhancing our capacity to explore cellular functions.…”
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  4. 2464
  5. 2465

    A Method for Calculating the Area of Zostera marina Leaves from Digital Images with Noise Induced by Humidity Content by Cecilia Leal-Ramirez, Hector Echavarria-Heras

    Published 2014-01-01
    “…Our results show that digital image procedures can provide reliable, nondestructive estimations of eelgrass leaf area.…”
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  6. 2466
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  8. 2468

    Network Congestion Control Algorithm for Image Transmission—HRI and Visual Light Communications of an Autonomous Underwater Vehicle for Intervention by Salvador López-Barajas, Pedro J. Sanz, Raúl Marín-Prades, Juan Echagüe, Sebastian Realpe

    Published 2025-01-01
    “…The system was designed to avoid network congestion by adjusting the image compression parameters and the transmission rate depending on the real-time network conditions. …”
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  9. 2469

    Building Crack Detection Based on Digital Image Processing Technology and Multiscale Feature Analysis Automatic Detection Algorithm by Chenguang Liu

    Published 2022-01-01
    “…This paper combines digital image processing technology and multiscale feature analysis automatic detection algorithm to construct an intelligent building structure crack detection system. …”
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  10. 2470

    An investigation on the feasibility of applying MODIS snow cover products in cloudy weather by the employment of its integration with microwave images by majid vazifedoust, nima fayaz, shahab araghinejad

    Published 2015-09-01
    “…The results demonstrate that regardless of the fact that microwave data, featuring a coarse spatial resolution, can penetrate the cloud cover, on average, AMSR-E images approximately show 16% more snow cover in comparison to MODIS images. …”
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  11. 2471
  12. 2472

    In Vivo Tracking of Chemokine Receptor CXCR4-Engineered Mesenchymal Stem Cell Migration by Optical Molecular Imaging by Senthilkumar Kalimuthu, Ji Min Oh, Prakash Gangadaran, Liya Zhu, Ho Won Lee, Ramya Lakshmi Rajendran, Se hwan Baek, Yong Hyun Jeon, Shin Young Jeong, Sang-Woo Lee, Jaetae Lee, Byeong-Cheol Ahn

    Published 2017-01-01
    “…The in vivo migration of CXCR4-overexpressing MSCs to MDAMB231/Rluc tumor model by BLI imaging was also confirmed. Intravenous delivery of genetically modified MSCs overexpressing CXCR4 with a Fluc2 reporter gene may be a useful, noninvasive BLI imaging tool for tracking cell fate.…”
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  13. 2473

    Numerical Test Study of the Microscale Failure Modes and Fractal Analysis of Lower Cambrian Shale Based on Digital Images by Hengtao Cui, Zhonghu Wu, Liping Li, Jing Wang, Shuguang Song, Shangqu Sun, Yujun Zuo, Hao Liu, Yili Lou

    Published 2020-01-01
    “…On the microscale, based on digital image processing technology, this paper characterizes the nonuniformity of minerals in shale, a numerical model that can reflect the true microstructure of shale. …”
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  14. 2474

    An Investigation of the Association between Transversus Abdominis Myofascial Structure and Activation with Age in Healthy Adults using Ultrasound Imaging by Nathaly Gaudreault, Justine Benoît-Piau, Jan Paul van Wingerden, Carla Stecco, Frédérique Daigle, Guillaume Léonard

    Published 2021-08-01
    “… # Methods Eighty-six adults aged 18 to 77 participated in this study. An ultrasound image of their transversus abdominis, internal oblique, external oblique and associated fasciae was first captured at rest, then during a contraction of the transversus abdominis. …”
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  15. 2475
  16. 2476

    Intraoperative Myelography in Cervical Multilevel Stenosis Using 3D Rotational Fluoroscopy: Assessment of Feasibility and Image Quality by Thomas Westermaier, Stefan Koehler, Thomas Linsenmann, Michael Kiderlen, Paul Pakos, Ralf-Ingo Ernestus

    Published 2015-01-01
    “…Modern 3D fluoroscopy may provide a new opportunity supplying multiplanar images. This study was performed to determine the feasibility and image quality of intraoperative cervical myelography using a 3D fluoroscope. …”
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  17. 2477
  18. 2478

    Comparison of Accuracy in Expert Clinical Examination versus Magnetic Resonance Imaging and Arthroscopic Exam in Diagnosis of Meniscal Tear by Seyed Ali Hashemi, Mohammad Reza Ranjbar, Mohammad Tahami, Reza Shahriarirad, Amirhossein Erfani

    Published 2020-01-01
    “…Clinical examination (including McMurray test, Apley test, and 20 Thessaly test) was performed before the arthroscopy, and the results were recorded in special forms. Magnetic resonance imaging (MRI) results were also added. Then, arthroscopy was performed, declaring the definite diagnosis, and the results were compared to the results obtained from both tests and MRI. …”
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  19. 2479

    A multi-modal deep learning model for prediction of Ki-67 for meningiomas using pretreatment MR images by Chaoyue Chen, Yanjie Zhao, Linrui Cai, Haoze Jiang, Yuen Teng, Yang Zhang, Shuangyi Zhang, Junkai Zheng, Fumin Zhao, Zhouyang Huang, Xiaolong Xu, Xin Zan, Jianfeng Xu, Lei Zhang, Jianguo Xu

    Published 2025-01-01
    “…Abstract This study developed and validated a deep learning network using baseline magnetic resonance imaging (MRI) to predict Ki-67 status in meningioma patients. …”
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  20. 2480