Computer-Aided Diagnosis of Glaucoma Using Morphological Filters and Machine Learning

ISBN-13: 9780323954129 / Angielski / Miękka / 2024

Vikrant Bhateja; Archita Johri; Deepika Pal

Opis

Computer-Aided Diagnosis of Glaucoma using Morphological Filters and Machine Learning provides a focused research-based case-study of CAD of glaucoma using advanced image processing and machine learning algorithms. The book discusses relevant, state-of-the-art solutions and existing challenges, along with the steps needed to develop a CAD methodology as a projected solution. Different cases of vision disorders specific to Glaucoma are presented with results evaluated by various image quality assessment metrics and opinions from medical practitioners.

Spis treści

1. Introduction2. Cad of glaucoma 3. Evolution in cad of glaucoma4. State of art techniques for cad of glaucoma5. Design methodology for cad of glaucoma6. Enhancement of retinal fundus images using morphological filters7. Segmentation and localization of enhanced retinal images8. Results and discussions: Enhancement and segmentation of retinal images9. Feature extraction and classification for automated glaucoma diagnosis10. Results and discussions: Feature extraction and classification11. Conclusions and future research