Image Analysis for Ophthalmological Diagnosis : Image Processing of Corvis® ST Images Using Matlab® / by Robert Koprowski
By: Koprowski, Robert
Contributor(s): SpringerLink (Online service)
Material type: 
E-bookSeries: Studies in Computational Intelligence; 631631Publisher: Cham : Springer International Publishing, 2016Edition: 1st ed.Description: 1 recurso en línea (XIII, 125 p.) : 73 ilustraciones, 25 ilustraciones en color.ISBN: 9783319295466.Subject: Diagnóstico por imagen | OftalmologíaDDC classification: 006.3 Online resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds | |
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Madrid Digital Acceso Electrónico (UEM) | Ciencias de la Salud | RC78.7.D53 K677 2016 EB (Browse shelf(Opens below)) | .i11591973 | Acceso electrónico | eBOOK .i11591973 |
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| RC78.7.D53 ES Surgical Endoscopy | RC78.7 .D53 ES Biological Imaging | RC78.7.D53 E85 2018 EB Evidence-Based Emergency Imaging: Optimizing Diagnostic Imaging of Patients in the Emergency Care Setting | RC78.7.D53 K677 2016 EB Image Analysis for Ophthalmological Diagnosis : Image Processing of Corvis® ST Images Using Matlab® | RC78.7.D53 K677 2017 EB Processing of hyperspectral medical images : applications in dermatology using MATLAB® | RC78.7 .D53 K863 2016 EB Signal and Image Processing in Medical Applications | RC78.7.D53 M435 2014 EB Medical Imaging in Clinical Trials |
Introduction -- Image pre-processing -- Main Image processing -- Additional Image Processing and Measurement -- Impact of Image Acquisition and Selection of Algorithm Parameters on the Results -- Summary of Measured Features -- Conclusions.
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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