Description

Book Synopsis

A widely used, classroom-tested text, Applied Medical Image Processing: A Basic Course delivers an ideal introduction to image processing in medicine, emphasizing the clinical relevance and special requirements of the field. Avoiding excessive mathematical formalisms, the book presents key principles by implementing algorithms from scratch and using simple MATLAB/Octave scripts with image data and illustrations on an accompanying companion website. Organized as a complete textbook, it provides an overview of the physics of medical image processing and discusses imaging physics, clinical applications of image processing, image formats and data storage, intensity transforms, filtering of images and applications of the Fourier transform, three-dimensional spatial transforms, volume rendering, image registration, tomographic reconstruction and basic machine learning.

This Third Edition of the bestseller:

  • Contains a brand-new chapter on the basics of machine le

Applied Medical Image Processing

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A Hardback by Wolfgang Birkfellner

15 in stock


    View other formats and editions of Applied Medical Image Processing by Wolfgang Birkfellner

    Publisher: Taylor & Francis Ltd
    Publication Date: 9/24/2024
    ISBN13: 9781032127675, 978-1032127675
    ISBN10: 1032127678
    Also in:
    Medical imaging

    Description

    Book Synopsis

    A widely used, classroom-tested text, Applied Medical Image Processing: A Basic Course delivers an ideal introduction to image processing in medicine, emphasizing the clinical relevance and special requirements of the field. Avoiding excessive mathematical formalisms, the book presents key principles by implementing algorithms from scratch and using simple MATLAB/Octave scripts with image data and illustrations on an accompanying companion website. Organized as a complete textbook, it provides an overview of the physics of medical image processing and discusses imaging physics, clinical applications of image processing, image formats and data storage, intensity transforms, filtering of images and applications of the Fourier transform, three-dimensional spatial transforms, volume rendering, image registration, tomographic reconstruction and basic machine learning.

    This Third Edition of the bestseller:

    • Contains a brand-new chapter on the basics of machine le

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