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  • Format: ePub

Back Cover Copy
This book covers the state-of-the-art techniques of optical coherence tomography angiography (OCTA) imaging for the diagnosis of retinal diseases. Currently, most ophthalmologists perform diagnosis by visual observation and interpretation. Treatment is significantly dependent on having early and accurate diagnosis, which can be significantly improved by employing disease-specific computer-aided diagnostic (CAD) systems based on different image modalities such as: . The book focuses on OCTA imaging for the diagnosis of any retinal disease. Among the topics discussed in the…mehr

Produktbeschreibung
Back Cover Copy

This book covers the state-of-the-art techniques of optical coherence tomography angiography (OCTA) imaging for the diagnosis of retinal diseases. Currently, most ophthalmologists perform diagnosis by visual observation and interpretation. Treatment is significantly dependent on having early and accurate diagnosis, which can be significantly improved by employing disease-specific computer-aided diagnostic (CAD) systems based on different image modalities such as: . The book focuses on OCTA imaging for the diagnosis of any retinal disease. Among the topics discussed in the book are clinical application of OCTA; hyaloid vascular regression in developing mouse eyes; OCTA stripe noise removal and vessel segmentation; OCTA changes in early type 3 neovascularization after anti-vascular endothelial growth factor treatment; OCTA in multiple sclerosis and neuromyelitis optica; diagnosis of polypoidal choroidal vasculopathy; objective assessment of OCTA; and age-related macular degeneration.

The main aim of this book is to help advance scientific research within the broad field of OCTA imaging for the diagnosis of retinal diseases. The authors focus on major trends and challenges in this area, and present work aimed to identify new techniques and their use in biomedical analysis.

Primarily aimed at biomedical and optical imaging specialists and ophthalmologists, this book also benefits graduate students in biomedical imaging.


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