Titlebook: Kidney Transplantation in Sensitized Patients; Duck Jong Han Book 2020 Springer Nature Singapore Pte Ltd. 2020 kidney transplantation.anti

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Induction and Maintenance Immunosuppressants in Sensitized Renal Allograft Recipients,/low-immunologic risk patients, as memory cells elicit immunologic recall responses that can result in early and often severe antibody-mediated rejection. The peri-transplant period, when donor-specific T and B memory cells rapidly expand in response to antigen (allograft) challenge, appears to be a

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Postoperative Management,proper prevention and monitoring of infectious disease is very important in sensitized kidney transplantation..Although the infectious risks might be different according to the desensitization protocols and the methods of prophylaxis, higher incidences of urinary tract infection, pneumocystis pneumo

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Pathology of the Allograft Kidney,ions such as BK virus nephropathy, thrombotic microangiopathy (TMA), recurrence of original disease, calcineurin inhibitor toxicity, and chronic rejection, etc..To codify renal allograft rejection, the most widely used system is called the “Banff classification and score.”.This chapter describes the

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Postoperative Results,ion (KT). However, over 30% of patients on a waiting list are sensitized to HLA through blood transfusion, pregnancy, or previous transplantation. These sensitized patients are less likely to find compatible deceased donors and have high mortality rates on dialysis. In addition, they have a limited

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e of light on a specular surface. Images of scenes including such surfaces present blind areas, the highlights, which hinder their employment in Computer Vision applications. This problem especially affects automated visual inspection systems of high reflective materials. In spite of its importance

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Duck Jong Hannd scale estimators based on the extension principle, are presented. The definitions of the fuzzy nonlinear means, the fuzzy location and scale estimators based on fuzzy order statistics and other fuzzy scale estimators, e.g., fuzzy sample standard deviation, are also given. Equivalent relations tha

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Soo-Kyung Kim,Hyosang Kimerencing scheme, fuzzy c-mean clustering, and fuzzy integral-based decision making. A fuzzy integral based region merging algorithm for image segmentation, which combines both region and edge features of the image, is then used to merge regions recursively according to the criterion of the maximum f