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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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发表于 2025-3-21 18:27:06 | 显示全部楼层 |阅读模式
书目名称Retinal Optical Coherence Tomography Image Analysis
编辑Xinjian Chen,Fei Shi,Haoyu Chen
视频video
概述Focuses 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
丛书名称Biological and Medical Physics, Biomedical Engineering
图书封面Titlebook: Retinal Optical Coherence Tomography Image Analysis;  Xinjian Chen,Fei Shi,Haoyu Chen Book 2019 Science Press and Springer Nature Singapore
描述.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..
出版日期Book 2019
关键词OCT imaging; Medical image analysis; Optical coherence tomography; Pigment Epithelial Detachments; OCT d
版次1
doihttps://doi.org/10.1007/978-981-13-1825-2
isbn_ebook978-981-13-1825-2Series ISSN 1618-7210 Series E-ISSN 2197-5647
issn_series 1618-7210
copyrightScience Press and Springer Nature Singapore Pte Ltd. 2019
The information of publication is updating

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书目名称Retinal Optical Coherence Tomography Image Analysis读者反馈学科排名




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发表于 2025-3-21 22:00:30 | 显示全部楼层
Speckle Noise Reduction and Enhancement for OCT Images,uction, which is helpful for more sophisticated processes like segmentation. Three OCT despeckling and enhancement methods are presented in this chapter, which are based on statistical modeling, data adaptive and non data adaptive transform based models, respectively.
发表于 2025-3-22 02:47:11 | 显示全部楼层
Reconstruction of Retinal OCT Images with Sparse Representation,rden for storage and transmission. To alleviate these problems, this chapter introduces several sparse representation based reconstruction methods for denoising, interpolation and compression, which enhance the quality of the OCT images and efficiently manage such large of amounts of data.
发表于 2025-3-22 06:59:23 | 显示全部楼层
Segmentation of OCT Scans Using Probabilistic Graphical Models,T image processing. In this chapter, a probabilistic approach for retinal layer segmentation is presented. It exploits texture and shape information based on a graphical model. The approach can be extended to a locally adaptive graphical model that additionally discriminates between healthy and pathologically deformed scan structure.
发表于 2025-3-22 11:37:56 | 显示全部楼层
Diagnostic Capability of Optical Coherence Tomography Based Quantitative Analysis for Various Eye Dness measurements and morphology analyses. The aim of this chapter is to summarize the diagnostic capability of OCT based quantitative analysis for various eye diseases and additional factors affecting morphological measurements.
发表于 2025-3-22 15:44:41 | 显示全部楼层
,Quantitative Analysis of Retinal Layers’ Optical Intensities Based on Optical Coherence Tomography, much less studied. This chapter introduces several studies on the quantitative analysis of the retinal layers’ optical intensity, both for normal subjects and for patients with central retinal artery occlusion.
发表于 2025-3-22 17:22:26 | 显示全部楼层
Segmentation of Optic Disc and Cup-to-Disc Ratio Quantification Based on OCT Scans, chapter, an automated algorithm is presented for optic disc segmentation in 3-D spectral domain optical coherence tomography, based on which the cup-to-disc ratio an important indicator of early glaucoma can be calculated.
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https://doi.org/10.1007/978-981-13-1825-2OCT imaging; Medical image analysis; Optical coherence tomography; Pigment Epithelial Detachments; OCT d
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