Page 158 - Computational Retinal Image Analysis

152 CHAPTER 8 Image quality assessment

Algorithms based on information fusion, structural image parameter analysis, and
machine learning (including deep learning) were included.
Image quality assessment algorithms will play a large part in the future development
of analysis systems. Given the emergence of opportunities for the application of
deep learning to generate highly automated analysis systems, achieving consistent
and high image quality ensures maximum performance of these systems. Real-time
feedback of image quality assessment embedded in image capture protocols is likely
to become an integral feature of future automated retinal image analysis systems.

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