Image Analysis for Ophthalmological Diagnosis: Image Processing of Corvis® ST Images Using Matlab®: 631 (Studies in Computational Intelligence) - Tapa blanda

Koprowski, Robert

 
9783319805955: Image Analysis for Ophthalmological Diagnosis: Image Processing of Corvis® ST Images Using Matlab®: 631 (Studies in Computational Intelligence)

Sinopsis

This monograph focuses on the use of analysis and processing methods for images from the Corvis® 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®. 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.

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De la contraportada

This monograph focuses on the use of analysis and processing methods for images from the Corvis® 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®. 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.

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Otras ediciones populares con el mismo título

9783319295459: Image Analysis for Ophthalmological Diagnosis: Image Processing of Corvis® ST Images Using Matlab®: 631 (Studies in Computational Intelligence)

Edición Destacada

ISBN 10:  3319295454 ISBN 13:  9783319295459
Editorial: Springer, 2016
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