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Titlebook: Advances in Computational Intelligence and Communication Technology; Proceedings of CICT Xiao-Zhi Gao,Shailesh Tiwari,Krishn K. Mishra Con

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Mining Public Opinion on Plastic Ban in Indiacular Analysis; Craniofacial Bones; Heart; Transplantation Specimens; The Sentinel Lymph Node. Revisions have been made to conform to suggested guidelines proposed by the College of American Pathologists. ..From reviews of the first edition:.."Hruban, Westra and Isacson, working with a superb medica
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y early HCCs do not generally have the complete alterations in the blood supply characteristic of progressed tumors and thus lack the features required for diagnosis on imaging. According to the American Association for the Study of Liver Diseases practice guidelines, tumors arising in a cirrhotic l
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The Threat Detection Framework for Securing Semantic Web Services Based on XACMLrefully chosen for their key role as the primary sources of information on a given disease. The text is richly illustrated with beautiful color images that highlight not just the “average” histological findings for a given entity, but also fully illustrate all of the key histological variability. Gr
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Real-Time Detection of Fake Account in Twitter Using Machine-Learning Approache pathology of these lesions is detailed here. Further, the esophagus can sometimes get involved in systemic inflammatory and autoimmune conditions, including those primarily affecting the gastrointestinal tract (Crohn’s disease) or the skin (e.g., lichen planus). This chapter also discusses mechani
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Security Enhancement Using Modified AES and Diffie–Hellman Key Exchangests that help confirm the diagnosis (i.e. immunohistochemistry, special histochemical stains, and molecular diagnostic techniques)...Surgical Pathology of the Gastrointestinal System: Bacterial, Fungal, Viral, and Parasitic Infections provides pertinent clinical, diagnostic, and epidemiologic inform
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Detection of Advanced Linux Malware Using Machine Learningitigated risky systems and variable quality can be rapidly applied to the transformation of contemporary surgical practice. Although the science of measuring the quality of surgical care remains in its infancy, surgical leaders have been at the forefront of reform and improvement. This chapter aims
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Host-Server-Based Malware Detection System for Android Platforms Using Machine Learninghernia. This does not appear to be the case, as early trends are showing migration of both open and laparoscopic surgeons to the robotic platform. The central questions this chapter will address are how can the cost of robotic inguinal hernia surgery be minimized and in which patient population does
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