Image Analysis for Ophthalmological Diagnosis: Image Processing of Corvis® ST Images Using Matlab® (Studies in Computational Intelligence, 631). Dieser Artikel ist nicht verfügbar.
Sprache: Englisch
Verlag: Springer, 2016
Serie: Buch 144 von 538 - Studies in Computational Intelligence
- Hardcover
- Neu

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Artikelbeschreibung des Verkäufers
In English.
Bestandsnummer des Verkäufers ria9783319295459_new
- Titel
- Image Analysis for Ophthalmological Diagnosis: Image Processing of Corvis® ST Images Using Matlab® (Studies in Computational Intelligence, 631)
- Autor
- Koprowski, Robert
- Verlag
- Springer
- Erscheinungsjahr
- 2016
- Zustand
- New
- Einband
- Hardcover
- Sprache
- Englisch
- ISBN-10
- 3319295454
- ISBN-13
- 9783319295459
- Artikelgewicht
- 497 Gramm
- Serie
- Buch 144 von 538: Studies in Computational Intelligence
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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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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