Computer-Aided Diagnosis of Glaucoma Using Morphological Filters and Machine Learning |
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| Author:
| Bhateja, Vikrant
Johri, Archita
Pal, Deepika
Pal, Babita |
| Series title: | Primers in Biomedical Imaging Devices and Systems Ser. |
| ISBN: | 978-0-323-95413-6 |
| Publication Date: | Dec 2024 |
| Publisher: | Elsevier Science & Technology Books
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| Imprint: | Academic Press |
| Book Format: | Ebook |
| List Price: | USD $150.00USD $180.00 |
Book Description:
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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...
More Description 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.
- 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 in Glaucoma