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Books > Medicine > Nursing & ancillary services > Biomedical engineering
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Computer-Aided Glaucoma Diagnosis System (Paperback)
Loot Price: R3,558
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Computer-Aided Glaucoma Diagnosis System (Paperback)
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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 diagnosing glaucoma using
CAD system. Computer-Aided Glaucoma Diagnosis System, Chapter 1
provides a brief introduction of the disease and current
methodology used to diagnose it today. Chapter 2 presents a review
of the medical background of the disease, followed by a theoretical
and mathematical background used in fundus image processing.
Chapter 3 is a literature review about segmentation and feature
extraction. Chapter 4 describes the formulation of the proposed
methodology. In Chapter 5, 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 6 presents the conclusions and
discussion of the future potential for the diagnostic system. This
book is intended for biomedical engineers, computer science
students, ophthalmologists and radiologists looking to develop a
reliable automated computer-aided diagnosis system (CAD) for
detecting glaucoma and improve diagnosis of the disease. Key
Features Discusses a reliable automated computer-aided diagnosis
system (CAD) for detecting glaucoma and presents an algorithm that
detects optic disc and optic cup Assists ophthalmologists and
researchers to test a new diagnostic method that reduces the effort
and time of the doctors and cost to the patients Discusses
techniques to reduce human error and minimize the miss detection
rate and facilitate early diagnosis and treatment Presents
algorithms to detect cup and disc color, shape features and RNFL
texture features Dr. Arwa Ahmed Gasm Elseid is an assistant
professor, Department of Biomedical Engineering, Sudan University
of Science and Technology, Khartoum, Sudan. Dr. Alnazier Osman
Mohammed Hamza is professor of Medical Imaging, College of
Engineering, Sudan University of Sciences and Technology, Khartoum,
Sudan.
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