Showing 3,621 - 3,640 results of 5,583 for search '"Radiology"', query time: 0.10s Refine Results
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    Analysis of occupational health examination results among medical radiation workers in Hangzhou City by GUAN Fuqiang, ZHOU Qihong, ZHANG Tianxi, YU Huijuan

    Published 2025-01-01
    “…Methods: Data on medical radiological workers who underwent occupational health examinations from 2021 to 2022 were collected through the Physical Examination Information Management System of the Hangzhou Occupational Disease Prevention and Control Hospital. …”
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    Didactic potential of metaphors used in medical discourse by Katarzyna Karska, Ewelina Prażmo

    Published 2017-12-01
    “…Therefore, in our presentation we analyse pictorial metaphors found in medical discourse and in the field of radiology in particular. …”
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  10. 3630

    An Efficient Dual-Sampling Approach for Chest CT Diagnosis by Alshamrani K, Alshamrani HA

    Published 2025-01-01
    “…Khalaf Alshamrani,1,2 Hassan A Alshamrani1 1Radiology Sciences Department, College of Medical Sciences, Najran University, Najran, Saudi Arabia; 2School of Medicine and Population Health, University of Sheffield, Sheffield, UKCorrespondence: Khalaf Alshamrani, Email Kaalshamrani@nu.edu.sa, k.alshamrani@sheffield.ac.ukBackground: This paper aimed to enhance the diagnostic process of lung abnormalities in computed tomography (CT) images, particularly in distinguishing cancer cells from normal chest tissue. …”
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    Prevalence of Dentinal Hypersensitivity among Dental Patients Visiting Tertiary Care Center: An Observational Study by Saru Ghimire, Sagar Ghimire, Samarika Dahal, Sirjana Dahal, Neetika Paudel, Prayash Paudel

    Published 2025-01-01
    “…Data were collected from the Department of Oral Medicine and Radiology after obtaining ethical approval Institutional Review Committee (Reference number: 385 (6-11) E2 079/80). …”
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    A Disentangled Representation-Based Multimodal Fusion Framework Integrating Pathomics and Radiomics for KRAS Mutation Detection in Colorectal Cancer by Zhilong Lv, Rui Yan, Yuexiao Lin, Lin Gao, Fa Zhang, Ying Wang

    Published 2024-09-01
    “…Recently, the advancement of machine learning, especially deep learning, has greatly promoted the development of KRAS mutation detection from tumor phenotype data, such as pathology slides or radiology images. However, there are still two major problems in existing studies: inadequate single-modal feature learning and lack of multimodal phenotypic feature fusion. …”
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