Automated Image Detection of Retinal Pathology

by Herbert Jelinek, Michael J. Cree

Overview

Discusses the Effect of Automated Assessment Programs on Health Care ProvisionDiabetes is approaching pandemic numbers, and as an associated complication, diabetic retinopathy is also on the rise. Much about the computer-based diagnosis of this intricate illness has been discovered and proven effective in research labs. But, unfortunately, many of

Product Details

ISBN-13:	9781439859094
Publisher:	CRC Press
Publication date:	10/09/2009
Sold by:	Barnes & Noble
Format:	eBook
Pages:	393
File size:	22 MB
Note:	This product may take a few minutes to download.

About the Author

Herbert Jelinek, Charles Stuart University, Albury, New South Wales, Australia

Michael J. Cree, University of Waikato, Hamilton, New Zealand

Table of Contents

Introduction. Diabetic Retinopathy and Public Health. Detecting Retinal Pathology Automatically with Special Emphasis on Diabetic Retinopathy. Finding a Role for Computer-Aided Early Diagnosis of Diabetic Retinopathy. Retinal Markers for Early Detection of Eye Disease. Automated Microaneurysm Detection for Screening. Retinal Vascular Changes as Biomarkers of Systemic Cardiovascular Diseases. Appendix: Retinal Vessel Caliber Grading Protocol. Segmentation of Retinal Vasculature Using Wavelets and Supervised Classification: Theory and Implementation. Determining Retinal Vessel Widths and Detection of Width Changes. Geometrical and Topological Analysis of Vascular Branches from Fundus Retinal Images. Tele-Diabetic Retinopathy Screening and Image Based Clinical Decision Support.