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Book synopsis

CAD of Glaucoma requires enhancement of retinal fundus images wherein numerous challenges are incurred by medical practitioners during analysis of these images. This further constrains the optic-cup/discs segmentation and subsequent feature extraction for classification. 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. This book discusses the relevant state-of-art, existing challenges, and the steps taken to develop a CAD methodology as a projected solution. Different cases of vision disorders specific to Glaucoma are presented and the results are evaluated by various image quality assessment metrics along with opinions from medical practitioners. Highlights advancements in morphological filtering for contrast and edge enhancement of retinal images followed by optic cup/disc segmentation Features simulation results on more than 30 cases of Glaucoma with varying abnormalities and severities Provides remedial solutions of machine learning and a range of novel solutions in the domain of biomedical imaging for CAD of Glaucoma

Book details

Book category Books in English Medicine Nursing & ancillary services Biomedical engineering

• Full title: Computer-Aided Diagnosis of Glaucoma using Morphological Filters and Machine Learning
• Author: Vikrant Bhateja, Archita Johri, Deepika Pal, Babita Pal
• Language: English
• Binding: Paperback
• Number of pages: 250
• EAN: 9780323954129
• ID: 39480711
• Publisher: ACADEMIC PR INC
• Dimensions: 229 × 152 mm
• Date of publishing: 01. September 2023

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