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Advanced Data Mining Tools and Methods for Social Computing
explores advances in the latest data mining tools, methods,
algorithms and the architectures being developed specifically for
social computing and social network analysis. The book reviews
major emerging trends in technology that are supporting current
advancements in social networks, including data mining techniques
and tools. It also aims to highlight the advancement of
conventional approaches in the field of social networking. Chapter
coverage includes reviews of novel techniques and state-of-the-art
advances in the area of data mining, machine learning, soft
computing techniques, and their applications in the field of social
network analysis.
Computer vision and machine intelligence paradigms are prominent in
the domain of medical image applications, including computer
assisted diagnosis, image guided radiation therapy, landmark
detection, imaging genomics, and brain connectomics. Medical image
analysis and understanding are daunting tasks owing to the massive
influx of multi-modal medical image data generated during routine
clinal practice. Advanced computer vision and machine intelligence
approaches have been employed in recent years in the field of image
processing and computer vision. However, due to the unstructured
nature of medical imaging data and the volume of data produced
during routine clinical processes, the applicability of these
meta-heuristic algorithms remains to be investigated. Advanced
Machine Vision Paradigms for Medical Image Analysis presents an
overview of how medical imaging data can be analyzed to provide
better diagnosis and treatment of disease. Computer vision
techniques can explore texture, shape, contour and prior knowledge
along with contextual information, from image sequence and 3D/4D
information which helps with better human understanding. Many
powerful tools have been developed through image segmentation,
machine learning, pattern classification, tracking, and
reconstruction to surface much needed quantitative information not
easily available through the analysis of trained human specialists.
The aim of the book is for medical imaging professionals to acquire
and interpret the data, and for computer vision professionals to
learn how to provide enhanced medical information by using computer
vision techniques. The ultimate objective is to benefit patients
without adding to already high healthcare costs.
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