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    Incidental imaging detection of Kartagener syndrome in a female: A case report by Natasha Dhakal, MBBS, Prajwal Dahal, MD

    Published 2025-03-01
    “…Diagnosis is typically confirmed through imaging studies such as X-rays, CT scans, and echocardiograms, which reveal the abnormal orientation of the heart and other organs. …”
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  3. 1283

    Fault Diagnosis for Rolling Bearing under Variable Conditions Based on Image Recognition by Bo Zhou, Yujie Cheng

    Published 2016-01-01
    “…This paper proposes a fault diagnosis method based on image recognition for rolling bearings to realize fault classification under variable working conditions. …”
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    Article
  4. 1284

    Constraints for Jaccard index-based rotational symmetry focus position in binary images by N.A. Lomov, O.S. Seredin, D.V. Liakhov, O.A. Kushnir

    Published 2023-12-01
    “…To verify the hypothesis that the size of the region is insignificant compared to the area of the figure, we numerically simulated the proposed method with test image datasets.…”
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  5. 1285

    3D Modeling of Sculpture Nano-Ceramics under Sparse Image Sequence by Zeyin Yang

    Published 2022-01-01
    “…To improve the analysis ability of point cloud 3D reconstruction of sparse images of nano-ceramic sculpture points, an automatic cloud 3D reconstruction method of nano-ceramic sculpture points based on sparse image sequence is proposed. …”
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    The Utility of Routine Ultrasound Imaging after Elective Transplant Ureteric Stent Removal by Bibek Das, Dorian Hobday, Jonathon Olsburgh, Chris Callaghan

    Published 2016-01-01
    “…Of these patients, 222 had routine PSRGU (median (IQR) days after stent removal = 18 (11–31)), 79 had urgent PSRGU due to clinical or biochemical indications, 12 had CT imaging, and 25 had no further renal imaging. Of the 222 sRTRs who underwent routine PSRGU, 210 (94.6%) had no change of management, three (1.4%) required repeat imaging only, and eight patients (3.6%) had incidental (nonureteric) findings. …”
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  8. 1288
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    A generative whole-brain segmentation model for positron emission tomography images by Wenbo Li, Zhenxing Huang, Hongyan Tang, Yaping Wu, Yunlong Gao, Jing Qin, Jianmin Yuan, Yang Yang, Yan Zhang, Na Zhang, Hairong Zheng, Dong Liang, Meiyun Wang, Zhanli Hu

    Published 2025-02-01
    “…However, the low resolution of PET images may have limited the segmentation accuracy of multiple brain structures. …”
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  10. 1290

    Application of Remote Sensing Image Data Scene Generation Method in Smart City by Yuanjin Xu

    Published 2021-01-01
    “…Remote sensing image simulation is a very effective method to verify the feasibility of sensor devices for ground observation. …”
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  11. 1291

    Regularized Multiframe Super-Resolution Image Reconstruction Using Linear and Nonlinear Filters by Mahmoud M. Khattab, Akram M. Zeki, Ali A. Alwan, Belgacem Bouallegue, Safaa S. Matter, Abdelmoty M. Ahmed

    Published 2021-01-01
    “…The primary goal of the multiframe super-resolution image reconstruction is to produce an image with a higher resolution by integrating information extracted from a set of corresponding images with low resolution, which is used in various fields. …”
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  12. 1292

    Investigating the Quality of DermaMNIST and Fitzpatrick17k Dermatological Image Datasets by Kumar Abhishek, Aditi Jain, Ghassan Hamarneh

    Published 2025-02-01
    “…Several factors can impact data quality, such as the presence of duplicates, data leakage across train-test partitions, mislabeled images, and the absence of a well-defined test partition. …”
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  13. 1293

    A Teacher-Learning-Based Optimization Approach for Blur Detection in Defocused Images by Sana Munir Khan, Muhammad Tariq Mahmood

    Published 2025-01-01
    “…Defocus blur is often encountered in images taken with optical imaging equipment. It might be unwanted, but it might also be a deliberate artistic effect, which means it might help how we see the scenario in an image. …”
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    Multi scale multi attention network for blood vessel segmentation in fundus images by Giri Babu Kande, Madhusudana Rao Nalluri, R. Manikandan, Jaehyuk Cho, Sathishkumar Veerappampalayam Easwaramoorthy

    Published 2025-01-01
    “…Our experimental findings on publicly available datasets of fundus images, specifically DRIVE, STARE, CHASE_DB1, HRF and DR HAGIS consistently demonstrate that our approach outperforms other segmentation techniques, achieving higher accuracy, sensitivity, Dice score, and area under the receiver operator characteristic (AUC) in the segmentation of blood vessels with different thicknesses, even in situations involving diverse contextual information, the presence of coexisting lesions, and intricate vessel morphologies.…”
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