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

    £71.99

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    Order before 4pm today for delivery by Mon 7 Sep 2026.

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      Book details

      Publisher Taylor & Francis
      Imprint Taylor & Francis Ltd
      Published 9/24/2024
      ISBN-13 9781032127675
      978-1032127675
      ISBN-10 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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