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Multiple Kernel Learning Approach For Medical Image Analysis
[article]
2017
bioRxiv
pre-print
Computer aided diagnosis is gradually making its way into the domain of medical research and clinical diagnosis. With Field of radiology and diagnostic imaging producing petabytes of image data. Machine learning tools, particularly kernel based algorithms seem to be an obvious choice to process and analyze this high dimensional and heterogeneous data. In this chapter, after presenting a brief description about nature of medical images, image features and basics in machine learning and kernel
doi:10.1101/121509
fatcat:dfgacanmvrghdhrcmhrcew7aqe