This book serves as an introduction to the cutting-edge field of optical coherence tomography (OCT) imaging and computerized automatic image analysis techniques, specifically focused on their applications in diagnosing and treating retinal diseases. It covers a wide range of topics, including the fundamental principles of OCT imaging, clinical applications of OCT, preprocessing techniques for OCT images, and the automatic detection and quantitative analysis of retinal anatomy and pathology.
With a strong emphasis on practicality, the book includes numerous clinical OCT images and presents state-of-the-art research that applies novel image processing, pattern recognition, and machine learning methods to real clinical data. By exploring the latest advancements in OCT imaging and image analysis, it provides valuable insights into the development and implementation of innovative techniques for the diagnosis and management of retinal diseases.
Designed for researchers in the fields of medical image processing and ophthalmic imaging, this book offers a comprehensive overview of OCT imaging and its applications in the realm of retinal diseases. It combines theoretical knowledge with practical examples, making it an indispensable resource for those seeking to understand and contribute to this rapidly evolving field of study.
- ASIN : B07TTWGTFH
- Publisher : Springer; 1st ed. 2019 edition (July 5, 2019)
- Publication date : July 5, 2019
- Language : English