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Prostate Cancer Classification Using Multispectral Images

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Prostate Cancer Classification using Multispectral Images - Tahir, Muhammad Atif
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Multispectral imagery in prostate cancer pathology has progressed greatly in the last 5 years. Unlike conventional RGB colour space, multispectral images allow the acquisition of a large number of spectral bands within the visible spectrum, resulting in a large feature vector size. For such a high dimensionality, pattern recognition techniques suffer from the well-known curse of dimensionality problem along with increase in execution time. This book investigates novel classification algorithms for prostate cancer ...

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Prostate Cancer Classification using Multispectral Images 2010, LAP Lambert Academic Publishing, Saarbrucken

ISBN-13: 9783843379229

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