Big Data and Visual Analytics, Suh S.C., Anthony T., 2017

Big Data and Visual Analytics, Suh S.C., Anthony T., 2017.

This book provides users with cutting edge methods and technologies in the area of  big data and visual analytics, as well as an insight to the big data and data analytics research conducted by world-renowned researchers in this field. The authors present comprehensive educational resources on big data and visual analytics covering state-of-the art techniques on data analytics, data and information visualization, and visual analytics. Each chapter covers  specific topics related to big data and data analytics as virtual data machine, security of  big data, big data applications, high performance computing cluster, and big data implementation techniques. Every chapter includes a description of an unique contribution to the area of big data and visual analytics. This book is a valuable resource for researchers and professionals working in the area of big data, data analytics, and information visualization. Advanced-level students studying computer science will also find this book helpful as a secondary textbook or reference.




Computer Aided Detection (CAD).
The Computer Aided Detection (CAD) systems are designed to assist physicians in the evaluation of medical images. CAD is rapidly growing in the field of radiology to improve the accuracy and consistency of the radiologists’ image interpretation. CAD system processes digital images and highlight the suspicious section to evaluate the possible disease. The goal of the CAD systems is to detect the earliest signs of abnormality in the patients’ medical image that human professionals cannot. It is pattern recognition software that automatically detects the suspicious features in the image to get the attention from the radiologist and reduce the false negative reading. The computer algorithm for automatic detection usually consists of multiple steps, including image processing, image feature extraction, and data classification through a different classifier such as artificial neural networks (ANN) [7]. The CAD systems are being used for different image modalities from Magnetic Resonance Imaging (MRI), Computed Tomography (CT), ultrasound imaging, retinal funduscopic image etc.



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