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Retinal optical coherence tomography...

Chen, Haoyu.

Retinal optical coherence tomography image analysis

Record Type:	Electronic resources : Monograph/item
Title/Author:	Retinal optical coherence tomography image analysisedited by Xinjian Chen, Fei Shi, Haoyu Chen.
other author:	Chen, Xinjian.
Published:	Singapore :Springer Singapore :2019.
Description:	xi, 385 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	RetinaTomography.
Online resource:	https://doi.org/10.1007/978-981-13-1825-2
ISBN:	9789811318252$q(electronic bk.)

Retinal optical coherence tomography image analysis
Retinal optical coherence tomography image analysis[electronic resource] /edited by Xinjian Chen, Fei Shi, Haoyu Chen. - Singapore :Springer Singapore :2019. - xi, 385 p. :ill., digital ;24 cm. - Biological and medical physics, biomedical engineering,1618-7210. - Biological and medical physics, biomedical engineering..

Clinical applications of retinal optical coherence tomography -- Fundamentals of optical coherence tomography -- Speckle noise reduction and enhancement for OCT images -- Reconstruction of retinal OCT images with sparse representation -- Segmentation of OCT scans using probabilistic graphical models -- Diagnostic capability of optical coherence tomography based quantitative analysis for various eye diseases and additional factors affecting morphological measurements -- Quantitative analysis of retinal layers' optical intensities based on optical coherence tomography -- Segmentation of optic disc and cup-to-disc ratio quantification based on OCT scans -- Choroidal OCT analytics -- Layer segmentation and analysis for retina with diseases -- Segmentation and visualization of drusen and geographic atrophy in SD-OCT images -- Segmentation of symptomatic exudate-associated derangements in 3D OCT images -- Modeling and prediction of chroidal neovascularization growth based on longitudinal OCT scans.

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.

ISBN: 9789811318252$q(electronic bk.)

Standard No.: 10.1007/978-981-13-1825-2doiSubjects--Topical Terms:

563657
Retina
--Tomography.

LC Class. No.: RE551 / .R485 2019

Dewey Class. No.: 617.7350757

Retinal optical coherence tomography image analysis
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490 1 $a Biological and medical physics, biomedical engineering, $x 1618-7210
505 0 $a Clinical applications of retinal optical coherence tomography -- Fundamentals of optical coherence tomography -- Speckle noise reduction and enhancement for OCT images -- Reconstruction of retinal OCT images with sparse representation -- Segmentation of OCT scans using probabilistic graphical models -- Diagnostic capability of optical coherence tomography based quantitative analysis for various eye diseases and additional factors affecting morphological measurements -- Quantitative analysis of retinal layers' optical intensities based on optical coherence tomography -- Segmentation of optic disc and cup-to-disc ratio quantification based on OCT scans -- Choroidal OCT analytics -- Layer segmentation and analysis for retina with diseases -- Segmentation and visualization of drusen and geographic atrophy in SD-OCT images -- Segmentation of symptomatic exudate-associated derangements in 3D OCT images -- Modeling and prediction of chroidal neovascularization growth based on longitudinal OCT scans.
520 $a 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.
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650 2 4 $a Medical and Radiation Physics. $3 511317
650 2 4 $a Biomedical Engineering and Bioengineering. $3 826326
650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 274492
650 2 4 $a Imaging / Radiology. $3 274007
650 2 4 $a Ophthalmology. $3 274149
700 1 $a Chen, Xinjian. $3 849854
700 1 $a Shi, Fei. $3 849855
700 1 $a Chen, Haoyu. $3 849856
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