Medical Image Analysis presents practical knowledge on medical
image computing and analysis as written by top educators and
experts. This text is a modern, practical, self-contained reference
that conveys a mix of fundamental methodological concepts within
different medical domains. Sections cover core representations and
properties of digital images and image enhancement techniques,
advanced image computing methods (including segmentation,
registration, motion and shape analysis), machine learning, how
medical image computing (MIC) is used in clinical and medical
research, and how to identify alternative strategies and employ
software tools to solve typical problems in MIC.
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