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Emerging Technologies Serving Cytopathology: Big Data, the Cloud, and Mobile Computing

Emerging Technologies Serving Cytopathology: Big Data, the Cloud, and Mobile Computing

Abraham Pouliakis, Niki Margari, Effrosyni Karakitsou, Stavros Archondakis, Petros Karakitsos
ISBN13: 9781799853398|ISBN10: 179985339X|EISBN13: 9781799853404
DOI: 10.4018/978-1-7998-5339-8.ch085
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MLA

Pouliakis, Abraham, et al. "Emerging Technologies Serving Cytopathology: Big Data, the Cloud, and Mobile Computing." Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing, edited by Information Resources Management Association, IGI Global, 2021, pp. 1740-1769. https://doi.org/10.4018/978-1-7998-5339-8.ch085

APA

Pouliakis, A., Margari, N., Karakitsou, E., Archondakis, S., & Karakitsos, P. (2021). Emerging Technologies Serving Cytopathology: Big Data, the Cloud, and Mobile Computing. In I. Management Association (Ed.), Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing (pp. 1740-1769). IGI Global. https://doi.org/10.4018/978-1-7998-5339-8.ch085

Chicago

Pouliakis, Abraham, et al. "Emerging Technologies Serving Cytopathology: Big Data, the Cloud, and Mobile Computing." In Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing, edited by Information Resources Management Association, 1740-1769. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-5339-8.ch085

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Abstract

Cytopathology became a popular since George Papanicolaou proposed the famous test Pap 60 years ago. Today cytopathology laboratories use the microscope as primary diagnostic device; however modern laboratories host numerous modalities for molecular tests and exchange data via networks; additionally, there are imaging systems producing pictures and virtual slides at enormous sizes and volume. The latest technological developments for cloud computing, big data and mobile devices has changed the way enterprises, institutions and people use computerized systems. In this chapter are explored potential applications of these technologies in the cytopathology laboratory including: data storage, laboratory information systems, population screening programs, quality control and assurance, education and proficiency testing, e-learning, tele-consultation, primary diagnosis and research. The impact of their adoption on the daily workflow is highlighted, possible shortcomings especially for security and privacy issues are identified and future research directions are presented.

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