Computational Retinal Image Analysis

Tools, Applications and Perspectives

By: Trucco, MacGillivray, Xu

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Paperback | 20 November 2019 | Edition Number 1

At a Glance

Paperback
504 Pages

Dimensions(cm)
23.5 x 19.05 x 2.57

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Computational Retinal Image Analysis: Tools, Applications and Perspectives gives an overview of contemporary retinal image analysis (RIA) in the context of healthcare informatics and artificial intelligence.

Specifically, it provides a history of the field, the clinical motivation for RIA, technical foundations (image acquisition modalities, instruments), computational techniques for essential operations (e.g. anatomical landmarks location, blood vessel segmentation), lesion detection (e.g. optic disc in glaucoma, microaneurysms in diabetes) and validation, as well as insight into current investigations drawing from artificial intelligence and big data (retinal biomarkers for risk of systemic conditions).

This comprehensive and structured one-stop reference is ideal for researchers and graduate students in retinal image analysis, researchers in computational ophthalmology from computer science, artificial intelligence, biomedical engineering, health informatics, ophthalmology, and precision medicine, as well as optometrists

A unique, well-structured and integrated overview of retinal image analysis
Gives insight into the future such as large-scale screening programs, precision medicine, computer-assisted personalized eye care
Includes plans and aspirations of companies and professional bodies

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