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, [email protected]
- Tim Pitts, Acquisitions Editor at Elsevier: [email protected]