2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) 2020
DOI: 10.1109/iemcon51383.2020.9284931
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Blood Vessel Segmentation in Fundus Images Using Hessian Matrix for Diabetic Retinopathy Detection

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Cited by 18 publications
(8 citation statements)
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“…It is crucial to accurately identify different lesions across different phases despite variations in image quality and eye movement. Also, most of the methods presented in the Literature have not been tested in real patients (4,14,20,22,23,25,26). (28,29).…”
Section: Discussionmentioning
confidence: 99%
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“…It is crucial to accurately identify different lesions across different phases despite variations in image quality and eye movement. Also, most of the methods presented in the Literature have not been tested in real patients (4,14,20,22,23,25,26). (28,29).…”
Section: Discussionmentioning
confidence: 99%
“…The Isodata thresholding technique is an iterative method that uses the Euclidean distance to estimate the similarity measure in the clustering of data elements into different classes. This technique has been suggested in several articles for fundus images as an effective method (20)(21)(22)(23). Most of these articles were analyzed on different types of standard databases, and less on real patients with low quality, noise, and artifacts.…”
Section: Isodata-based Segmentationmentioning
confidence: 99%
“…It is crucial to accurately identify different lesions across different phases despite variations in image quality and eye movement. Also, most of the methods presented in the Literature have not been tested in real patients (4,14,20,22,23,25,26). (28,29).…”
Section: Discussionmentioning
confidence: 99%
“…The Isodata thresholding technique is an iterative method that uses the Euclidean distance to estimate the similarity measure in the clustering of data elements into different classes. This technique has been suggested in several articles for fundus images as an effective method (20)(21)(22)(23). Most of these articles were analyzed on different types of standard databases, and less on real patients with low quality, noise, and artifacts.…”
Section: Isodata-based Segmentationmentioning
confidence: 99%
“…It is crucial to accurately identify different lesions across different phases despite variations in image quality and eye movement. Also, most of the methods presented in the Literature have not been tested in real patients(4,14,20,22,23,25,26).By comparing early and late phases imaging sequences, ophthalmologist can track lesions such as microaneurysms and leaks to determine appropriate treatments. The registration of these phases, image quality enhancement, and extraction of vascular features in diagnosis and appropriate treatment are very important.…”
mentioning
confidence: 99%