Big Data in Medical Image Processing (eBook, ePUB) - Suganya, R.; Rajaram, S.; Abdullah, A. Sheik
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  • Format: ePub

The book provides an automated system that could retrieve images based on user's interest to a point of providing decision support. It will help medical analysts to take informed decisions before planning treatment and surgery. It will also be useful to researchers who are working in problems involved in medical imaging.

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  • Größe: 2.74MB
Produktbeschreibung
The book provides an automated system that could retrieve images based on user's interest to a point of providing decision support. It will help medical analysts to take informed decisions before planning treatment and surgery. It will also be useful to researchers who are working in problems involved in medical imaging.

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Autorenporträt
R. Suganya is Assistant Professor in the Department of Information Technology, Thiagarajar College of Engineering, Madurai. Her areas of interest include Medical Image Processing, Big Data Analytics, Internet of Things, Theory of Computation, Compiler Design and Software Engineering.

S. Rajaram currently holds the post of Associate Professor in the department of Electronics and Communication Engineering, Thiagarajar College of Engineering. His fields of interest are VLSI Design and Wireless Communication.

A. Sheik Abdullah is Assistant Professor in the Department of Information Technology, Thiagarajar College of Engineering, Madurai, Tamil Nadu, India. His research interests include Medical Data Research, E-Governance and Big Data.