Computational Retinal Image Analysis: Tools, Applications and Perspectives

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Computational Retinal Image Analysis: Tools, Applications and Perspectives

Computational Retinal Image Analysis: Tools, Applications and Perspectives


Computational Retinal Image Analysis: Tools, Applications and Perspectives


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Computational Retinal Image Analysis: Tools, Applications and Perspectives

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.Provides a unique, well-structured and integrated overview of retinal image analysisGives insights into future areas, such as large-scale screening programs, precision medicine, and computer-assisted eye careIncludes plans and aspirations of companies and professional bodies

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Product details

Paperback: 445 pages

Publisher: Academic Press; 1 edition (June 29, 2019)

Language: English

ISBN-10: 0081028164

ISBN-13: 978-0081028162

Product Dimensions:

7.5 x 9.2 inches

Shipping Weight: 1.1 pounds (View shipping rates and policies)

Average Customer Review:

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Amazon Best Sellers Rank:

#2,195,290 in Books (See Top 100 in Books)

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Computational Retinal Image Analysis: Tools, Applications and Perspectives PDF

Computational Retinal Image Analysis: Tools, Applications and Perspectives


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