Skip to content
Home/ Medical Image Recognition, Segmentation and Parsing: Machine Learning and Multiple Object Approaches
Medical Image Recognition, Segmentation and Parsing: Machine Learning and Multiple Object Approaches

Medical Image Recognition, Segmentation and Parsing: Machine Learning and Multiple Object Approaches

No customer reviews yet ISBN 9780128025819

This book describes the technical problems and solutions for automatically recognizing and parsing a medical image into multiple objects, structures, or anatomies. It gives all the key methods, including state-of- the-art approaches based on machine learning, for recognizing or detecting, parsing or segmenting, a cohort of anatomical structures from a medical image.

Written by top experts in Medical Imaging, this book is ideal for university researchers and industry practitioners in medical imaging who want a complete reference on key methods, algorithms and applications in medical image recognition, segmentation and parsing of multiple objects.

Learn:

  • Research challenges and problems in medical image recognition, segmentation and parsing of multiple objects
  • Methods and theories for medical image recognition, segmentation and parsing of multiple objects
  • Efficient and effective machine learning solutions based on big datasets
  • Selected applications of medical image parsing using proven algorithms

About the author

Product details

Pub dateDec 8, 2015
ISBN-100128025816
ISBN-139780128025819
LanguageEnglish
Last updated 2026-03-11 00:55
$142.66 $145.00 1% off
You save $2.34 · list price $145.00
In stock soon — order now to reserve your copy
Delivery by Monday, September 14, 2026
Qty
Sign in to Add to Saved list
Free delivery on orders over $35.
15-day returns. Any reason.
Secure checkout. We never store card details.

Readers who bought this also bought

More from Data Science - General
See all
Essential Guide to Image Processing [With CDROM]
<ul> <li>A complete introduction to the basic and intermediate concepts of image processing from the leading people in the field</li> <li>Up-to-date content, including statistical modeling of natural, anistropic diffusion, image quality and the latest developments in JPEG 2000 </li></ul> <p>This comprehensive and state-of-the art approach to image processing gives engineers and students a thorough introduction, and includes full coverage of key applications: image watermarking, fingerprint recognition, face recognition and iris recognition and medical imaging. <i>"This book combines basic image processing techniques with some of the most advanced procedures. Introductory chapters dedicated to general principles are presented alongside detailed application-orientated ones. As a result it is suitably adapted for different classes of readers, ranging from Master to PhD students and beyond." - Prof. Jean-Philippe Thiran, EPFL, Lausanne, Switzerland</i> <p><i></i></p> <p><i>"Al Bovik's compendium proceeds systematically from fundamentals to today's research frontiers. Professor Bovik, himself a highly respected leader in the field, has invited an all-star team of contributors. Students, researchers, and practitioners of image processing alike should benefit from the Essential Guide." - Prof. Bernd Girod, Stanford University, USA</i></p> <p><i></i></p> <p><i>"This book is informative, easy to read with plenty of examples, and allows great flexibility in tailoring a course on image processing or analysis." - Prof. Pamela Cosman, University of California, San Diego, USA</i></p>
$96.47