Computer-aided glaucoma diagnosis system
"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. The book provides a brief introduction of the disease and current methodology being used to diagnose it today. Chapter two presents a review of the medical background of the disease, followed by a theoret…
Read More ↓Title Statements
- Full title :Computer-aided glaucoma diagnosis system / Arwa Ahmed Gasm Elseid and Alnazier Osman Mohammed Hamza.
Summary
"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. The book provides a brief introduction of the disease and current methodology being used to diagnose it today. Chapter two presents a review of the medical background of the disease, followed by a theoretical and mathematical background used in fundus image processing. Chapter three is a literature review about segmentation and feature extraction. Chapter four describes the formulation of the proposed methodology. In Chapter five, the results of optic disc and optic cup segmentation algorithm are presented. The feature extraction and selection method experimental results and performance evaluations of the classifier are given. Chapter six presents the conclusions and discussion of the future potential for the diagnostic system. The book is intended for biomedical engineers, computer science students, Ophthalmologists and Radiologist looking to develop a reliable automated computer-aided diagnosis system (CAD) for detecting glaucoma and improve diagnosis for the disease"--
Read More ↓Edition Statements
- Publication Date:2020.
- Edition:First edition
Publication Statements
- Publisher(s):CRC Press
- Place of Publication:Boca Raton, FL
- Language:eng
- Publication Date:2020.
The Physical Object
- Description:xviii, 154 pages : : illustrations (black and white) ; : 24 cm
Edition Identifiers
- ISBN:9780367406264, 0367406268, 9780367494438, 0367494434
- oclc:on1137814551
- LC Classification:RE871
- Dewey Decimal:617.7/410754
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