Sách giáo trình Y học: Automated Image Detection of Retinal Pathology (Tự động phát hiện hình ảnh Bệnh lý võng mạc)

HERBERT F. JELINEK - MICHAEL J. CREE

AUTOMATED IMAGE DETECTION OF RETINAL PATHOLOGY

(TỰ ĐỘNG PHÁT HIỆN HÌNH ẢNH BỆNH LÝ VÕNG MẠC)

PUBLISHER: CRC PRESS (2010)

THÔNG TIN CHUNG:

Tiêu đề sách: Automated Image Detection of Retinal Pathology (tạm dịch: Tự động phát hiện hình ảnh Bệnh lý võng mạc).

Tác giả: Herbert F. Jelinek - Michael J. Cree.

NXB: CRC Press (2010).

Thông số: 386 trang, 11 chương chính.

Giáo trình này tập trung đề cập tới những công nghệ tiên tiến nhất trong lĩnh vực chẩn đoán hình ảnh liên quan tới các bệnh lý võng mạc, từ đó các bác sĩ và chuyên gia có thể tìm ra, đánh giá và lập pháp đồ điều trị các chứng bệnh này một cách hiệu quả và an toàn nhất. Hy vọng những giá trị của cuốn sách này sẽ góp phần nâng cao hiệu quả và chất lượng trong việc khám - chữa các bệnh về Nhãn khoa!

INTRODUCTION (GIỚI THIỆU):

With the start of the 21st century, digital image processing and analysis is coming of age. Advances in hardware for capturing the minute detail in biological tissues such as the retina, and the unrelenting improvement in computational power in accordance with Moore’s law, have provided the basis for mathematicians, computer scientists, and engineers to apply pattern recognition and image analysis in medical and bio- logical applications. A better understanding of disease processes, which incorporate preclinical markers that identify people at risk combined with medical advances in diagnosis and treatment pave the way for improvement in health care generally and specifically for people with retinal disease such as that found in diabetes. Globally the prevalence of diabetes mellitus is on the rise and with it the asso- ciated complications including retinopathy, heart disease, and peripheral vascular disease. Early detection of features often not directly discernible by clinical inves- tigation has the potential to reduce the global burden of diabetes and cardiovascular disease. Although there are good public health reasons for screening certain popu- lations or sub-populations, several factors need to be considered as outlined by the

World Health Organization. These include the following: The disease is an impor- tant health problem, the natural history of the disease needs to be understood, there should be a detectable early stage, and treatment at the early stage should be more beneficial than treatment at later stages of disease. Diabetes and cardiovascular dis- ease meet these criteria.

TABLE OF CONTENTS (MỤC LỤC):

Chapter 1. Introduction

Chapter 2. Diabetic Retinopathy and Public Health

Chapter 3. Detecting Retinal Pathology Automatically with Special Emphasis on Diabetic Retinopathy

Chapter 4. Finding a Role for Computer-Aided Early Diagnosis of Diabetic Retinopathy

Chapter 5. Retinal Markers for Early Detection of Eye Disease

Chapter 6. Automated Microaneurysm Detection for Screening

Chapter 7. Retinal Vascular Changes as Biomarkers of Systemic Cardiovascular Diseases

Chapter 8. Segmentation of Retinal Vasculature Using Wavelets and Supervised Classification: Theory and Implementation

Chapter 9. Determining Retinal Vessel Widths and Detection of Width Changes

Chapter 10. Geometrical and Topological Analysis of Vascular Branches from Fundus Retinal Images

Chapter 11. Tele-Diabetic Retinopathy Screening and Image-Based Clinical Decision Support

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