Computational Retinal Image Analysis - Tools, Applications and Perspectives (Paperback)


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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Product Description

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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Product Details

General

Imprint

Academic Press Inc.(London) Ltd

Country of origin

United Kingdom

Series

The MICCAI Society book Series

Release date

November 2019

Availability

Expected to ship within 12 - 17 working days

First published

2019

Editors

, ,

Dimensions

235 x 191 x 31mm (L x W x T)

Format

Paperback

Pages

502

ISBN-13

978-0-08-102816-2

Barcode

9780081028162

Categories

LSN

0-08-102816-4



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