Computer-Aided Glaucoma Diagnosis System

Glaucoma is the second leading cause of blindness globally, and early detection and treatment can prevent its progression. This book discusses and reviews current approaches for detection and examines new approaches for diagnosing glaucoma using CAD system. It is intended for biomedical engineers, computer science students, ophthalmologists, and radiologists looking to develop a reliable automated CAD system for detecting glaucoma.

Format: Paperback / softback
Length: 154 pages
Publication date: 01 February 2022
Publisher: Taylor & Francis Ltd

Glaucoma, a prevalent eye condition globally, ranks as the second leading cause of blindness. The timely identification and appropriate treatment are crucial in halting its progression and preventing complete blindness. This comprehensive book delves into the current methods for glaucoma detection and explores innovative approaches utilizing computer-aided diagnosis (CAD) systems.

Chapter 1 offers a foundational overview of the disease, highlighting the current diagnostic methodologies employed. Chapter 2 provides a comprehensive medical background, encompassing the theoretical and mathematical foundations employed in fundus image processing. Chapter 3 conducts a thorough literature review on segmentation and feature extraction techniques, which are essential components of the proposed methodology.

Chapter 4 outlines the detailed formulation of the proposed methodology, encompassing the algorithms for optic disc and optic cup segmentation, feature extraction, and selection. Chapter 5 presents the outcomes of the optic disc and optic cup segmentation algorithms, along with the feature extraction and selection method. Experimental results and performance evaluations of the classifier are provided to assess the effectiveness of the proposed approach.

Chapter 6 concludes the book by summarizing the findings and discussing the future potential of the diagnostic system. This resource is designed to cater to biomedical engineers, computer science students, ophthalmologists, and radiologists seeking to develop a robust automated CAD system for accurate glaucoma detection and enhance the diagnosis of the disease.

Key Features:

Comprehensive Coverage: The book provides a comprehensive exploration of the current methods for glaucoma detection and introduces innovative approaches utilizing CAD systems.

Reliable Automated Diagnosis System: Discusses the development of a reliable automated computer-aided diagnosis system (CAD) for detecting glaucoma, offering an algorithm that effectively identifies the optic disc and optic cup.

Assistance to Ophthalmologists: Assists ophthalmologists and researchers in testing and evaluating a new diagnostic method that reduces the effort and time required by doctors while also reducing the financial burden on patients.

Techniques to Reduce Human Error: Discusses techniques to minimize human error and enhance the accuracy of glaucoma detection, ensuring early diagnosis and treatment.

Algorithms for Optic Disc and Optic Cup Segmentation: Presents algorithms to accurately segment the optic disc and optic cup, facilitating the extraction of relevant features for glaucoma diagnosis.

Experimental Results and Performance Evaluations: Presents experimental results and performance evaluations of the classifier, assessing the effectiveness of the proposed approach in glaucoma detection.

Future Potential: Discusses the future potential of the diagnostic system, highlighting its potential applications in clinical practice and research.

This book serves as a valuable resource for professionals and researchers seeking to advance the field of glaucoma detection and treatment. By leveraging the power of computer-aided diagnosis, we can strive to improve the lives of individuals affected by this eye condition and prevent blindness.

Weight: 276g
Dimension: 156 x 235 x 16 (mm)
ISBN-13: 9780367494438