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  • 1
    Online Resource
    Online Resource
    Bashkir State Medical University ; 2019
    In:  Creative surgery and oncology Vol. 9, No. 3 ( 2019-11-20), p. 209-215
    In: Creative surgery and oncology, Bashkir State Medical University, Vol. 9, No. 3 ( 2019-11-20), p. 209-215
    Abstract: Introduction. In this study, we analysed the results of applying various surgical methods in the combined treatment of inflammatory diseases of bones and joints. Materials and methods. The work was based on data from a multi-dimensional cohort study using non-concurrent (historical) control. A retrospective study included the analysis of medical records covering the period of 2009–2016 (1059 patients). A prospective study consisted in analysing the effectiveness of modern surgical methods in the combined treatment of inflammatory diseases of bones and joints in patients hospitalised to the Septic Surgery Department of the G.G. Kuvatov Republican Clinical Hospital (Ufa, Russia) in 2017–2018 (285 patients). Results and discussion. An analysis of the authors’ own data revealed that injuries (73.21%) and infectious complications after receiving surgery on bones and joints (15.03%) are the most common causes of osteomyelitis. In most cases, the following list of measures is optimal for diagnosing suspected osteomyelitis of various etiologies: X-ray, general clinical tests supplemented by the fistulography or CT of the affected area prior to surgery, as well as the examination of surgical material after surgery. The use of modern methods for surgical debridement and surgical repair of bone defects in the combined treatment of patients with chronic osteomyelitis can significantly reduce the relapse rate. It is recommended that patients with osteomyelitis be treated at large in-patient surgical facilities, which include a specialised department for the treatment of surgical infections and corresponding support services. Conclusion. Apparently, there is no one most optimal method for treating osteomyelitis. The optimal effect in the treatment of osteomyelitis is achieved through a personalised set of therapeutic measures using the following methods: laser vaporisation, negative-pressure wound therapy, ultrasonic cavitation in the focus of inflammation, as well as surgical repair of the post-trepanation bone defect or wound.
    Type of Medium: Online Resource
    ISSN: 2307-0501 , 2076-3093
    URL: Issue
    Language: Unknown
    Publisher: Bashkir State Medical University
    Publication Date: 2019
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  • 2
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 1961
    In:  Metal Science and Heat Treatment of Metals Vol. 3, No. 7-8 ( 1961-07), p. 368-371
    In: Metal Science and Heat Treatment of Metals, Springer Science and Business Media LLC, Vol. 3, No. 7-8 ( 1961-07), p. 368-371
    Type of Medium: Online Resource
    ISSN: 2470-1963
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 1961
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  • 3
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2019
    In:  Scientific Reports Vol. 9, No. 1 ( 2019-04-18)
    In: Scientific Reports, Springer Science and Business Media LLC, Vol. 9, No. 1 ( 2019-04-18)
    Abstract: Automated diagnosis of tuberculosis (TB) from chest X-Rays (CXR) has been tackled with either hand-crafted algorithms or machine learning approaches such as support vector machines (SVMs) and convolutional neural networks (CNNs). Most deep neural network applied to the task of tuberculosis diagnosis have been adapted from natural image classification. These models have a large number of parameters as well as high hardware requirements, which makes them prone to overfitting and harder to deploy in mobile settings. We propose a simple convolutional neural network optimized for the problem which is faster and more efficient than previous models but preserves their accuracy. Moreover, the visualization capabilities of CNNs have not been fully investigated. We test saliency maps and grad-CAMs as tuberculosis visualization methods, and discuss them from a radiological perspective.
    Type of Medium: Online Resource
    ISSN: 2045-2322
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2019
    detail.hit.zdb_id: 2615211-3
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