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Computational Vision and Medical Image Processing IV – João Tavares & Natal Jorge (eds)
© 2014 Taylor & Francis Group, London, ISBN 978-1-138-00081-0
Table of contents
Preface ix
Acknowledgements xi
Invited lecturers xiii
Thematic sessions xv
Scientific committee xvii
Invited lectures
Machine learning meets medical imaging: Learning and discovery of clinically useful
information from images 3
D. Rueckert, R. Wolz & P. Aljabar
Seeing and understanding people 9
R. Bowden
Contributed papers
On the strain–line patterns in a real human left ventricle 19
S. Gabriele, L. Teresi, V. Varano, A. Evangelista, P. Nardinocchi, P.E. Puddu & C. Torromeo
MR-T2-weighted signal intensity: A new imaging marker of prostate cancer aggressiveness 25
V. Giannini, A. V