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Computational Retinal Image Analysis

Tools, Applications and Perspectives

  • 1st Edition - November 20, 2019
  • Latest edition
  • Editors: Emanuele Trucco, Tom MacGillivray, Yanwu Xu
  • Language: English
  • Paperback ISBN:
    9 7 8 - 0 - 0 8 - 1 0 2 8 1 6 - 2
  • eBook ISBN:
    9 7 8 - 0 - 0 8 - 1 0 2 8 1 7 - 9

Computational Retinal Image Analysis: Tools, Applications and Perspectives gives an overview of contemporary retinal image analysis (RIA) in the context of healthcare informati… Read more

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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, lesion detection (e.g. optic disc in glaucoma, microaneurysms in diabetes) and validation, as well as insights into current investigations drawing from artificial intelligence and big data. This comprehensive reference is ideal for researchers and graduate students in retinal image analysis, computational ophthalmology, artificial intelligence, biomedical engineering, health informatics, and more.

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