Latest book in the MICCAI series

Wednesday 4th January 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:

• Prof Alejandro Frangi, University of Leeds, UK and Book Series Editorial Board Chair, a.frangi@leeds.ac.uk 
• Tim Pitts, Acquisitions Editor at Elsevier: tim.pitts@elsevier.com