دانلود کتاب سیستم تشخیص گلوکوم به کمک رایانه
Computer-Aided Glaucoma Diagnosis System, 1ed
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.
About the Author
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.
لینک کوتاه : https://bookbaz.ir/?p=285179
نویسنده : Arwa Ahmed Gasm Elseid
ناشر : CRC Press; 1st edition
سال انتشار : 2020
زبان کتاب : انگلیسی
نوع فایل : PDF
تعداد صفحات : 173
(ISBN) شابک : 0367406268
قیمت کتاب درآمازون : $123.45
حجم فایل : 10 MB