Titlebook: Retinal Optical Coherence Tomography Image Analysis; Xinjian Chen,Fei Shi,Haoyu Chen Book 2019 Science Press and Springer Nature Singapore

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Retinal Optical Coherence Tomography Image Analysis978-981-13-1825-2Series ISSN 1618-7210 Series E-ISSN 2197-5647

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Layer Segmentation and Analysis for Retina with Diseases,Though segmentation of normal retina has been successful, segmentation and analysis of pathological retina are far more important. This chapter first presents an automatic layer segmentation method for retinas with certain deformed layers, and then introduces two layer disruption detection methods based on feature analysis of segmented layers.

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Modeling and Prediction of Choroidal Neovascularization Growth Based on Longitudinal OCT Scans,Choroidal neovascularization (CNV) is common in many chorioretinal diseases and is a cause of severe visual impairment. This chapter presents a reaction-diffusion CNV growth model based on longitudinal OCT images. It can be used to predict the future CNV region and thus can provide guidance for the treatment planning.

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Xinjian Chen,Fei Shi,Haoyu ChenFocuses on computerized automatic analysis of clinical optical coherence tomography (OCT) images.Includes a wealth of examples of clinical OCT images for different retinal pathologies.Offers comprehen

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Book 2019ns 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, an

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