Cited By
View all- Wu YJiao G(2024)MicroSeg: Multi-scale fusion learning for microaneurysms segmentationBiomedical Signal Processing and Control10.1016/j.bspc.2024.10670097(106700)Online publication date: Nov-2024
Retinal Image Pre-Processing Using Equalization and thResholding (RIPPER)
Pages 8 - 14
Abstract
The eye is the only location on the human body that enables non-invasive evaluation of blood vessels. Clinicians can correlate the presence of systemic diseases, such as hypertension and diabetes, with the appearance of the ocular blood vessels. As such, there has been significant interest in accurate retinal vessel segmentation and classification. Traditionally, segmentation and classification methods first pre-process an image, then apply a vessel identifying technique. The results of this process is then compared to a gold-standard–typically an image that has been manually segmented by a human domain expert. In this paper, we propose RIPPER (Retinal Image Pre-Processing using Equalization And thResholding) a highly effective retinal image pre-processing technique for use in both manual and automated vessel segmentation systems. We apply RIPPER to two publicly available retinal image databases, DRIVE and HRF, which contain gold standard segmentations for each image. Our results show that using RIPPER can increase the accuracy of the gold standard images by up to 20% thereby allowing for increased performance in retinal vessel segmentation and classification systems.
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Index Terms
- Retinal Image Pre-Processing Using Equalization and thResholding (RIPPER)
Index terms have been assigned to the content through auto-classification.
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September 2023
226 pages
ISBN:9798400708152
DOI:10.1145/3632047
Copyright © 2023 ACM.
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Association for Computing Machinery
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Published: 27 February 2024
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ICBRA 2023
ICBRA 2023: 2023 the 10th International Conference on Bioinformatics Research and Application
September 22 - 24, 2023
Barcelona, Spain
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View all- Wu YJiao G(2024)MicroSeg: Multi-scale fusion learning for microaneurysms segmentationBiomedical Signal Processing and Control10.1016/j.bspc.2024.10670097(106700)Online publication date: Nov-2024
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