Page 12 - Computational Retinal Image Analysis
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CHAPTER


                  A brief introduction and

                  a glimpse into the past                                    1





                                                                    b
                                                           a
                                            Emanuele Trucco , Yanwu Xu , Tom MacGillivray c
                         a VAMPIRE Project, Computing (SSEN), University of Dundee, Dundee, United Kingdom
                       b AI Innovation Business Department, Baidu Online Network Technology (Beijing) Co., Ltd.,
                                                                           Beijing, China
                              c VAMPIRE Project, Centre for Clinical Brain Sciences, University of Edinburgh,
                                                                  Edinburgh, United Kingdom


                  1  Why this book?

                  This book offers an overview of the main aspects of contemporary retinal image
                  analysis (RIA) in the context of clinical applications, healthcare informatics and arti-
                  ficial intelligence. The book aims to be not just another collection of papers on tech-
                  nical advancements; these are reported more timely by conferences papers, online
                  journal pre-prints and repositories like arXiv or bioRxiv. Instead, the book aspires to
                  be a comprehensive introduction to the field. A logical progression of chapters takes
                  the reader through an overview of RIA, its clinical motivations, technical foundations
                  (image acquisition modalities, instruments), computational techniques for essential
                  operations (e.g., anatomical landmarks location, blood vessel segmentation), lesion
                  detection (e.g., optic disc in glaucoma, microaneurysms in diabetes) and the impor-
                  tant topic of validation, all the way to a showcase of current investigations draw-
                  ing from artificial intelligence and big data (retinal biomarkers for risk of systemic
                  conditions) and the future, e.g., large-scale screening programs, precision medicine,
                  computer-assisted personalized eye care and the challenges of creating, maintaining
                  and making available to research inceasingly large collections of clinical data.



                  2  Casting an eye into the distant past: The history of eye
                  research in the West

                     Zusammengestohlen aus verschiedenem diesem und jenem a
                                     Ludwig van Beethoven, comment on his String Quartet no. 14
                     For an overview of retinal imaging including a brief history of modern techniques
                  we refer the reader to Keane and Sadda’s review [1]. Chapter 3 of this book offers

                  a   “Put together from bits stolen from here and there.”
                  Computational Retinal Image Analysis. https://doi.org/10.1016/B978-0-08-102816-2.00001-0  1
                  © 2019 Elsevier Ltd. All rights reserved.
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