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Books > Computing & IT > Applications of computing > Artificial intelligence

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Image Analysis for Ophthalmological Diagnosis - Image Processing of Corvis (R) ST Images Using Matlab (R) (Paperback, Softcover reprint of the original 1st ed. 2016) Loot Price: R2,873

Discovery Miles 28 730

Repayment Terms: R269 pm x 12*

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Image Analysis for Ophthalmological Diagnosis - Image Processing of Corvis (R) ST Images Using Matlab (R) (Paperback, Softcover...

Image Analysis for Ophthalmological Diagnosis - Image Processing of Corvis (R) ST Images Using Matlab (R) (Paperback, Softcover reprint of the original 1st ed. 2016)

Robert Koprowski

Series: Studies in Computational Intelligence, 631

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Loot Price R2,873 Discovery Miles 28 730 | Repayment Terms: R269 pm x 12*

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This monograph focuses on the use of analysis and processing methods for images from the Corvis (R) ST tonometer. The presented analysis is associated with the quantitative, repeatable and fully automatic evaluation of the response of the eye, eyeball and cornea to an air-puff. All the described algorithms were practically implemented in MATLAB (R). The monograph also describes and provides the full source code designed to perform the discussed calculations. As a result, this monograph is intended for scientists, graduate students and students of computer science and bioengineering as well as doctors wishing to expand their knowledge of modern diagnostic methods assisted by various image analysis and processing methods.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Studies in Computational Intelligence, 631
Release date:	March 2018
First published:	2016
Authors:	Robert Koprowski
Dimensions:	235 x 155 x 8mm (L x W x T)
Format:	Paperback
Pages:	125
Edition:	Softcover reprint of the original 1st ed. 2016
ISBN-13:	978-3-319-80595-5
Categories:	Books > Medicine > Clinical & internal medicine > Ophthalmology Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	3-319-80595-9
Barcode:	9783319805955