Springer International Publishing AG, 2017. — 229 p. — (Health Information Science) — ISBN: 3319570269.
This book presents advances in biomedical imaging analysis and processing techniques using time dependent medical image datasets for computer aided diagnosis. The analysis of time-series images is one of the most widely appearing problems in science, engineering, and business. In recent years this problem has gained importance due to the increasing availability of more sensitive sensors in science and engineering and due to the wide-spread use of computers in corporations which have increased the amount of time-series data collected by many magnitudes.
Introduction and Motivation for Conducting Medical Image Analysis
Overview of Clinical Applications Using THz Pulse Imaging, MRI, OCT and Fundus Imaging
Recent Advances in Medical Data Preprocessing and Feature Extraction Techniques
Pattern Classification
Introduction to MRI Time Series Image Analysis Techniques
Outlook for Clifford Algebra Based Feature and Deep Learning AI Architectures
Concluding Remarks