Arwa Ahmed Gasm Elseid, Alnazier Osman Mohammed Hamza

Computer-Aided Glaucoma Diagnosis System (eBook, PDF)

• Format: PDF

Produktbeschreibung

Glaucoma is the second leading cause of blindness globally. Early detection and treatment can prevent its progression to avoid total blindness. This book discusses and reviews current approaches for detection and examines new approaches for diagnosis using CAD and machine learning techniques.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 172
• Erscheinungstermin: 14. Mai 2020
• Englisch
• ISBN-13: 9781000070057
• Artikelnr.: 59482687

Autorenporträt

Dr. Arwa Ahmed Gasm Elseid is an Assistant Professor in Biomedical Engineering, Khartoum, Sudan. Her research has centered on CAD (Computer Aided Diagnosing) system for Glaucoma detection via digital fundus image, which developed a new algorithm used image processing techniques (contrast equalization, filtration, edge detection and segmentation, feature extraction and selection) then classification the analyzed data from feature extracted. A critical aspect of this work has lead to the development of accurate and inexpensive CAD system for glaucoma diagnosing using matlab software.

Dr. Alnazier Osman Mohammed Hamza is Professor of Medical Imaging, College of Engineering, Sudan University of Sciences and Technology, Khartoum, Sudan. He is married and has six children.

Inhaltsangabe

1. Introduction
Computer Aided Diagnosis. 2. Medical Background
Glaucoma Diagnosis. 3. Related Works
OD and OC Segmentation, Disc to Cup Ratio (CDR). 4. Research Methodology
Fundus Image Datasets, Image Preprocessing and Enhancement 5. Results and Discussions
Image Preparation, Feature Extraction, Classification . 6. Conclusion and Future Scope.