Image Analysis and Modeling in Ophthalmology
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Summary
Successful thermal modeling of the human eye helps in the early diagnosis of eye abnormalities such as inflammation, cataracts, diabetic retinopathy, and glaucoma—all leading causes of blindness. This book presents a unified work of eye imaging and modeling techniques that have been proposed and applied to ophthalmologic problems. It delves into various morphological, texture, higher order spectra, and wavelet transformation techniques used to extract important diagnostic features from images, which can then be analyzed by a data scientist for automated diagnosis.
Table of Contents
Automated Detection of Optic Disc: A Comparative Study. Computer-Based Detection of Glaucoma Using Wavelet Transform. Automated Identification of Diabetes Retinopathy Using Textural Features. Vitreous Imaging and Modeling (Finite Model Analysis). Survey on Techniques Used In Iris Recognition System. Pupillometry History and Systematic Pupil Measurement Using Custom Built Pupillometry Device. Formal Design and Development of a Diabetes Retinopathy Classification System. Diagnostics Instruments for Glaucoma Detection. Modeling of Laser-Induced Thermal Damage to the Retina and the Cornea. Segmentation of the Vascular Network of the Retina. Classifying the Tear Film Lipid Layer Using Color Texture Analysis. Arteriovenus Ratio Calculation Using Image Processing. Thermal Modeling of the Aging Eye. Computational Meibography. Modeling and Simulation of Bioheat Transfer in Eye (Es-Fem). Ultrasound, Angiography, Optical Coherence Tomography, and Auto-Fluorescence of the Retina. Imaging Of Clinical Ophthalmology and Computer Science.
