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Volume 12, Number 1-2 >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/3848

Title: Internet of Medical Imaging Things and Analytics in Support of Precision Medicine for Early Diagnostics of Thyroid Cancer
Authors: Borovska, Plamenka
Desislava, Ivanova
Draganov, Ivo
Keywords: Internet of Medical Imaging Things and Analytics
Thyroid Cancer Diagnostics
Ultrasound Imaging
Issue Date: 2018
Publisher: Institute of Mathematics and Informatics Bulgarian Academy of Sciences
Citation: Serdica Journal of Computing, Vol. 12, No 1-2, (2018), 047p-064p
Abstract: In this paper the role of advanced information technologies such as Internet of medical imaging Things and analytics in support and promotion of precision medicine is revealed considering a case study of early thyroid cancer diagnostics. The concept of precision medicine is presented and analyzed from the point of view of computational science and the new paradigm for scientific research. The focus of the paper is on the intersection of Internet of medical imaging Things and analytics ecosystem and precision medicine. The computational flow of in silico knowledge data discovery is presented and analyzed and the beneficial outcomes for the case study of thyroid cancer diagnostics revealed. Finally, the architecture of experimental framework for in silico knowledge data discovery is proposed based on thyroid cancer imaging analytics. ACM Computing Classification System (1998): I.2.1, J.3.
URI: http://hdl.handle.net/10525/3848
ISSN: 1312-6555
Appears in Collections:Volume 12, Number 1-2

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