Retinal Optical Coherence Tomography Image Analysis 1st Edition 2019 (2019) (PDF) by Xinjian Chen, Fei Shi

Description

This book introduces the latest optical coherence tomography (OCT) imaging and computerized automatic image analysis techniques, and their applications in the diagnosis and treatment of retinal diseases. Discussing the basic principles and the clinical applications of OCT imaging, OCT image preprocessing, as well as the automatic detection and quantitative analysis of retinal anatomy and pathology, it includes a wealth of clinical OCT images, and state-of-the-art research that applies novel image processing, pattern recognition and machine learning methods to real clinical data. It is a valuable resource for researchers in both medical image processing and ophthalmic imaging.

Xinjian Chen, IEEE Senior Member, received his Ph.D. degree from the Institute of Automation, Chinese Academy of Sciences in 2006. After graduation, he worked on research projects with several prestigious groups: Microsoft Research Asia, Beijing, China (2006-2007); Medical Image Processing Group, University of Pennsylvania (2008-2009); Department of Radiology and Image Sciences, National Institutes of Health (2009-2011); and Department of Electrical and Computer Engineering, University of Iowa (2011-2012). In 2012, he joined the School of Electrical and Information Engineering, Soochow University where he serves as a Distinguished Professor and Director of Medical Image Processing, Analysis and Visualization Laboratory. Under his leadership, the laboratory has evolved with a strong group of 8 faculty members and 30 postgraduate students working towards PhD and MS programs. The laboratory has received more than 10 National and Provincial grants, including the prestigious Young Scientist grant with Xinjian as the PI from National Basic Research Program of China (973).

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Retinal Optical Coherence Tomography Image Analysis 1st Edition 2019 2019 PDF Free Download
Download Retinal Optical Coherence Tomography Image Analysis 1st Edition 2019 PDF
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