Computational Retinal Image Analysis

<p>CHAPTER 1 A brief introduction and a glimpse into the past<br>Emanuele Trucco, Yanwu Xu, and Tom MacGillivray</p> <p><br>CHAPTER 2 Clinical motivation and the needs for RIA<br>in healthcare <br>Ryo Kawasaki and Jakob Grauslund</p> <p><br>CHAPTER 3 The physics, instruments and modalities<br>of retinal imaging<br>Andrew R. Harvey, Guillem Carles, Adrian Bradu and<br>Adrian Podoleanu</p> <p>CHAPTER 4 Retinal image preprocessing, enhancement,<br>and registration<br>Carlos Hernandez-Matas, Antonis A. Argyros<br>and Xenophon Zabulis</p> <p>CHAPTER 5 Automatic landmark detection in fundus<br>photography<br>Jeffrey Wigdahl, Pedro Guimarães and Alfredo Ruggeri</p> <p>CHAPTER 6 Retinal vascular analysis: Segmentation,<br>tracing, and beyond <br>Li Cheng, Xingzheng Lyu, He Zhao, Huazhu Fu<br>and Huiqi Li</p> <p>CHAPTER 7 OCT layer segmentation <br>Sandro De Zanet, Carlos Ciller, Stefanos Apostolopoulos,<br>Sebastian Wolf and Raphael Sznitman</p> <p>CHAPTER 8 Image quality assessment <br>Sarah A. Barman, Roshan A. Welikala, Alicja R. Rudnicka<br>and Christopher G. Owen</p> <p>CHAPTER 9 Validation <br>Emanuele Trucco, Andrew McNeil, Sarah McGrory, Lucia<br>Ballerini, Muthu Rama Krishnan Mookiah, Stephen Hogg,<br>Alexander Doney and Tom MacGillivray</p> <p>CHAPTER 10 Statistical analysis and design in<br>ophthalmology: Toward optimizing your data <br>Gabriela Czanner and Catey Bunce</p> <p>CHAPTER 11 Structure-preserving guided retinal<br>image filtering for optic disc analysis <br>Jun Cheng, Zhengguo Li, Zaiwang Gu, Huazhu Fu,<br>Damon Wing Kee Wong and Jiang Liu</p> <p>CHAPTER 12 Diabetic retinopathy and maculopathy lesions <br>Bashir Al-Diri, Francesco Calivá, Piotr Chudzik,<br>Giovanni Ometto and Maged Habib</p> <p>CHAPTER 13 Drusen and macular degeneration <br>Bryan M. Williams, Philip I. Burgess and<br>Yalin Zheng</p> <p>CHAPTER 14 OCT fluid detection and quantification <br>Hrvoje Bogunović, Wolf-Dieter Vogl,<br>Sebastian M. Waldstein and Ursula Schmidt-Erfurth</p> <p>CHAPTER 15 Retinal biomarkers and cardiovascular<br>disease: A clinical perspective <br>Carol Yim-lui Cheung, Posey Po-yin Wong and<br>Tien Yin Wong</p> <p>CHAPTER 16 Vascular biomarkers for diabetes<br>and diabetic retinopathy screening <br>Fan Huang, Samaneh Abbasi-Sureshjani, Jiong Zhang,<br>Erik J. Bekkers, Behdad Dashtbozorg and<br>Bart M. ter Haar Romeny</p> <p>CHAPTER 17 Image analysis tools for assessment of atrophic<br>macular diseases <br>Zhihong Jewel Hu and Srinivas Reddy Sadda</p> <p>CHAPTER 18 Artificial intelligence and deep learning<br>in retinal image analysis <br>Philippe Burlina, Adrian Galdran, Pedro Costa, Adam<br>Cohen and Aurélio Campilho</p> <p>CHAPTER 19 AI and retinal image analysis at Baidu <br>Yehui Yang, Dalu Yang, Yanwu Xu, Lei Wang,<br>Yan Huang, Xing Li, Xuan Liu and Le Van La</p> <p>CHAPTER 20 The challenges of assembling, maintaining<br>and making available large data sets<br>of clinical data for research <br>Emily R. Jefferson and Emanuele Trucco</p> <p>CHAPTER 21 Technical and clinical challenges<br>of A.I. in retinal image analysis <br>Gilbert Lim, Wynne Hsu, Mong Li Lee, Daniel Shu Wei<br>Ting and Tien Yin Wong</p>