Latest book in the MICCAI series

Wednesday, January 4, 2017

Elsevier are delighted to announce the latest book in the MICCAI series:

Zhou et al: Deep Learning for Medical Image Analysis  Due: February 2017

http://store.elsevier.com/product.jsp?isbn=9780128104088&pagename=search

  • Covers common research problems in medical image analysis and their challenges
  • Describes deep learning methods and the theories behind approaches for medical image analysis
  • Teaches how algorithms are applied to a broad range of application areas, including Chest X-ray, breast CAD, lung and chest, microscopy and pathology, etc.
  • Includes a Foreword written by Nicholas Ayache


To find out more about the book and the authors, read an interview here: http://scitechconnect.elsevier.com/deep-learning-impact-medical-image-an...

Members of MICCAI can save up to 30% on Deep Learning and any of the other books in the series on the Elsevier store. Enter code MICCAI30 to claim your discount and get free shipping!

Zhou: Medical Image Recognition, Segmentation and Parsing

http://store.elsevier.com/product.jsp?isbn=9780128025819&pagename=search

  • Provides a comprehensive overview of state-of-the-art research on medical image recognition, segmentation, and parsing of multiple objects
  • Presents efficient and effective approaches based on machine learning paradigms to leverage the anatomical context in the medical images, best exemplified by large datasets
  • Includes algorithms for recognizing and parsing of known anatomies for practical applications


Wu: Machine Learning and Medical Imaging

http://store.elsevier.com/product.jsp?isbn=9780128040768&pagename=search

  • Demonstrates the application of cutting-edge machine learning techniques to medical imaging problems
  • Covers an array of medical imaging applications including computer assisted diagnosis, image guided radiation therapy, landmark detection, imaging genomics, and brain connectomics
  • Features self-contained chapters with a thorough literature review
  • Assesses the development of future machine learning techniques and the further application of existing techniques

Balocco: Computing and Visualization for Intravascular Imaging and Computer-Assisted Stenting

http://store.elsevier.com/product.jsp?isbn=9780128110188&_requestid=712655

  • Brings together scientific researchers, medical experts, and industry partners working in different anatomical regions
  • Presents an introduction to the clinical workflow and current challenges in endovascular Interventions
  • Provides a review of the state-of-the-art methodologies in endovascular imaging and their applications
  • Poses outstanding questions and discusses future research

 

If you're interested in writing or editing a book in the series please contact:

• Alison Noble, University of Oxford UK and Book Series Editorial Board Chair, alison.noble@eng.ox.ac.uk
• Tim Pitts, Acquisitions Editor at Elsevier: tim.pitts@elsevier.com