This book covers the state-of-the-art techniques of optical
coherence tomography angiography (OCTA) imaging for the diagnosis of retinal
diseases.




It is part of a three-volume work that describes the latest
imaging techniques in which to bring optical coherence tomography (OCT), Fundus
Imaging and optical coherence tomography angiography (OCTA) to accurately
facilitate the diagnosis of retinal diseases. Clinical disorders of the retina
have been attracting the attention of researchers, aiming at reducing the
blindness rate. This includes uveitis, diabetic retinopathy, macular edema,
endophthalmitis, proliferative retinopathy, age-related macular degeneration
and glaucoma. Treatment is significantly dependent on having early and accurate
diagnosis, which can be significantly improved by employing the techniques
described in the book.

Key Features:





Provides a comprehensive
overview of all pertinent topics related to optical coherence tomography
angiography (OCTA) imaging techniques, applicable to diagnosis of eye
disorders.
Offers a unique coverage of
Neural Networks in distinguishing eye diseases.



Machine learning techniques
are presented in detail throughout.



Many of the chapter
contributors are world-class researchers.



Extensive references will
be provided at the end of each chapter to enhance further study.