Clinical retina disorders have been increasingly attracting researchers that aim to reduce blindness rates. 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: optical coherence tomography (OCT), Fundus Imaging and optical coherence tomography angiography (OCTA).
This text is part of a three-volume work that describes in detail, the latest imaging techniques in which to bring OCT, fundus Imaging and OCTA to accurately facilitate the diagnosis of retinal diseases. This volume covers the state-of-the-art techniques of fundus imaging for the diagnosis of retinal diseases. The book describes texture interpretability of fundus imaging and diabetic retinopathy; enface image registration; automated detection and prediction of AMD; interobserver variability in the determination of diabetic retinopathy and quality of fundus image; plus disease in preterm infants; retinal disease management using fundus autofluorescence images; and joint cup and disc segmentation.
The key audiences for this text include biomedical and optical imaging specialists and ophthalmologists. This volume is also highly useful for graduate students in biomedical imaging.
This text is part of a three-volume work that describes in detail, the latest imaging techniques in which to bring OCT, fundus Imaging and OCTA to accurately facilitate the diagnosis of retinal diseases. This volume covers the state-of-the-art techniques of fundus imaging for the diagnosis of retinal diseases. The book describes texture interpretability of fundus imaging and diabetic retinopathy; enface image registration; automated detection and prediction of AMD; interobserver variability in the determination of diabetic retinopathy and quality of fundus image; plus disease in preterm infants; retinal disease management using fundus autofluorescence images; and joint cup and disc segmentation.
The key audiences for this text include biomedical and optical imaging specialists and ophthalmologists. This volume is also highly useful for graduate students in biomedical imaging.
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